Package: afni-atlases Source: afni-data Version: 0.20180120-1.1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 109419 Homepage: http://afni.nimh.nih.gov Priority: extra Section: science Filename: pool/main/a/afni-data/afni-atlases_0.20180120-1.1_all.deb Size: 98215048 SHA256: b7b30ce4345671d92cb08f939b76de42f81a6839abe3d47dba1db0620fe64e0c SHA1: 792d6506cc866acfa54fc71475f823e686f169f7 MD5sum: deaddf5e6992face9b5edeb62644187c Description: standard space brain atlases for AFNI AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . This package provide AFNI's standard space brain templates in HEAD/BRIK format. Package: btrbk Version: 0.26.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 311 Depends: neurodebian-popularity-contest, perl, btrfs-progs (>= 3.18.2) | btrfs-tools (>= 3.18.2) Recommends: openssh-client, pv Homepage: http://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.26.0-1~nd100+1_all.deb Size: 85910 SHA256: 35e242cefcf18bff429bdf8c658be8c21cc48594c65f9527f63848070695a6db SHA1: 93272710757fb2429800f3631438f87661df9d87 MD5sum: b034bbc9abc4bb671f4a0392345cc5e6 Description: backup tool for btrfs subvolumes Backup tool for btrfs subvolumes, using a configuration file, allows creation of backups from multiple sources to multiple destinations, with ssh and flexible retention policy support (hourly, daily, weekly, monthly). Package: connectome-workbench Version: 1.3.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 48605 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libftgl2 (>= 2.1.3~rc5), libgcc1 (>= 1:3.0), libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.9), libosmesa6 (>= 10.2~), libqt5core5a (>= 5.10.0), libqt5gui5 (>= 5.2.0), libqt5network5 (>= 5.0.2), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.7.0), libqt5xml5 (>= 5.1.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.2.3.4) Recommends: caret Suggests: ffmpeg Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_1.3.1-1~nd100+1_amd64.deb Size: 22093488 SHA256: de14de1bb1098e620fb6beeddbd8cbe89e24b56dbc41d3419955b45f3a2212a4 SHA1: 4c2b607c70b03025e61132c31ab2a1d8f77e25c9 MD5sum: 02e4bb0e79d0bb853efadaff65ca9a46 Description: brain visualization, analysis and discovery tool Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. Package: connectome-workbench-dbg Source: connectome-workbench Version: 1.3.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 203862 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.3.1-1~nd100+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.3.1-1~nd100+1_amd64.deb Size: 201599576 SHA256: 55fb2b82955c8a349f1d4f37cdfb3359712f3658b08a692ff0c086be87e45335 SHA1: 4988cc41c2b8a3b0ecd1850ea95f00a48764cdc5 MD5sum: 15764d83049e7b3bf749910261f85c64 Description: brain visualization, analysis and discovery tool -- debug symbols Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. . This package contains debug symbols for the binaries. Build-Ids: 1d10aaea90f2104706aa47f46bd36194d1f4d345 6ef71fcb972d4bf996d691f76aef2b7d49e5c813 Package: datalad Version: 0.10.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 121 Depends: neurodebian-popularity-contest, python3-datalad (= 0.10.2-1~nd100+1), python3-argcomplete, python3:any Suggests: datalad-containers, datalad-crawler, datalad-neuroimaging Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.10.2-1~nd100+1_all.deb Size: 85560 SHA256: b4622f244545baa9beefdb6e4aff5140cd5681eeb0c0a0fc73ed8524893c7de2 SHA1: a8b842589976baaed0ddeea5175bd35d4e779085 MD5sum: 58d71272730ccef6e71b1179b46e660c Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package provides the command line tools. Install without Recommends if you need only core functionality. Package: dcm2niix Version: 1:1.0.20180622-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 630 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), libyaml-cpp0.5v5 Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20180622-1~nd100+1_amd64.deb Size: 161892 SHA256: a8c7895799944e0fa726a72bbd683a32eab4d0758fa872eb78e7beb64bcb79dc SHA1: fa75a5f8dd22a667c9f6395cec20d4211ad02de6 MD5sum: 6d37e40f43512574a3793a147300a639 Description: converts DICOM and PAR/REC files into the NIfTI format This is the successor of the well-known dcm2nii program. it aims to provide same functionality albeit with much faster operation. This is a new tool that is not yet well tested, and does not handle ancient proprietary formats. Use with care. Package: dcm2niix-dbgsym Source: dcm2niix Version: 1:1.0.20180622-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 719 Depends: dcm2niix (= 1:1.0.20180622-1~nd100+1) Priority: optional Section: debug Filename: pool/main/d/dcm2niix/dcm2niix-dbgsym_1.0.20180622-1~nd100+1_amd64.deb Size: 665744 SHA256: 910bdae4e97d91ec240d7aebe97a56f0d3eca3c6b9e4bd3f28dc32bc095c4053 SHA1: 450863694cb542f0f0d084a97ddda702b82479af MD5sum: 15d1a4b85e3357491da66d7b1423c33f Description: debug symbols for dcm2niix Build-Ids: 68ce6097b8a03f373090ad58c8eba4f1df128eb9 9e5771f957b060991c1a80a10d91eda214c6ed72 Package: fsleyes Version: 0.15.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 239787 Depends: neurodebian-popularity-contest, python-fsl, python-fsleyes-props, python-fsleyes-widgets, python-wxgtk3.0, python-six (>= 1.0~), python-jinja2, python-scipy, python-matplotlib, python-numpy, python-opengl (>= 3.1~), python-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.15.2-1~nd100+1_all.deb Size: 26727496 SHA256: aa8cd7cacddf4a0ab2933e6330594da4a0c95954ffffa3c6974ac33a79c8cf27 SHA1: 13e9bd1338ee233a179ba809a075961b5fd10326 MD5sum: 8bb360750b3746266edc141788eed30c Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: gifti-bin Source: gifticlib Version: 1.0.9-2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libexpat1 (>= 2.0.1), libgiftiio0, libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: utils Filename: pool/main/g/gifticlib/gifti-bin_1.0.9-2~nd100+1_amd64.deb Size: 24316 SHA256: 1572d311978b0288990b14ad68798c45682e31cb12afc6d42522b3eaf5751e46 SHA1: cb095188541eee8e56ca449429a99a44b87305ce MD5sum: 0e47662a0d3d43d46a60e84f02b99c16 Description: tools shipped with the GIFTI library GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package provides the tools that are shipped with the library (gifti_tool and gifti_test). Package: gifti-bin-dbgsym Source: gifticlib Version: 1.0.9-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: gifti-bin (= 1.0.9-2~nd100+1) Priority: optional Section: debug Filename: pool/main/g/gifticlib/gifti-bin-dbgsym_1.0.9-2~nd100+1_amd64.deb Size: 3848 SHA256: bbabdf09bc63c9ba48d28360b6a9d7c90adedf35990c935c4a8858b367aa744e SHA1: 057c12fcdffc5bf2ec3735daf925239ef5dbf895 MD5sum: da38b9f8a92c495ce88a83002e3f4581 Description: debug symbols for gifti-bin Build-Ids: 876b6b16bb025c88c4a8ca58916fc2bd45d34123 b8a91f4c0573c6a75e89b268476e57c84d97db20 Package: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 30817 Pre-Depends: dpkg (>= 1.17.13) Depends: neurodebian-popularity-contest, libc6 (>= 2.16), libcurl3-gnutls (>= 7.16.2), libexpat1 (>= 2.0.1), libpcre2-8-0, zlib1g (>= 1:1.2.0), perl, liberror-perl, git-man (>> 1:2.14.1), git-man (<< 1:2.14.1-.) Recommends: patch, less, ssh-client Suggests: gettext-base, git-daemon-run | git-daemon-sysvinit, git-doc, git-el, git-email, git-gui, gitk, gitweb, git-cvs, git-mediawiki, git-svn Breaks: bash-completion (<< 1:1.90-1), cogito (<= 0.18.2+), git-buildpackage (<< 0.6.5), git-core (<< 1:1.7.0.4-1.), gitosis (<< 0.2+20090917-7), gitpkg (<< 0.15), gitweb (<< 1:1.7.4~rc1), guilt (<< 0.33), stgit (<< 0.15), stgit-contrib (<< 0.15) Replaces: git-core (<< 1:1.7.0.4-1.), gitweb (<< 1:1.7.4~rc1) Provides: git-completion, git-core Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git_2.14.1-3+nd0~nd100+1_amd64.deb Size: 4389054 SHA256: 6da256a72d2f0de8ab2bafcf4246ffe19f4bdd8b4dab55eccac5d8d314773245 SHA1: f0fc4d5c4fd7bf640e571473ce740d641fc3ab52 MD5sum: 702408fa7afe21cfe936b93a6d536159 Description: fast, scalable, distributed revision control system Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git main components with minimal dependencies. Additional functionality, e.g. a graphical user interface and revision tree visualizer, tools for interoperating with other VCS's, or a web interface, is provided as separate git* packages. Package: git-all Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 710 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), git-doc, git-el, git-cvs, git-mediawiki, git-svn, git-email, git-gui, gitk, gitweb Recommends: git-daemon-run | git-daemon-sysvinit Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-all_2.14.1-3+nd0~nd100+1_all.deb Size: 709290 SHA256: 07b5db19c4a38a02979d183cfdb1ae9eab573e10be427d14fa762a4d25ce1213 SHA1: f895c292300310da61f611116772e0d605a56e44 MD5sum: 1360fad07ecf231d20615d86b7977abf Description: fast, scalable, distributed revision control system (all subpackages) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This is a dummy package which brings in all subpackages. Package: git-annex-remote-rclone Version: 0.5-1~ndall+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.5-1~ndall+1_all.deb Size: 7842 SHA256: 0b1d65c740ce1073ecdae6db121d304fe02c4bb95df552326894118a65b38319 SHA1: 34a2323c4387e61c4a69617150c463f9a7b772c5 MD5sum: 00c5a0407a998eba72d4f5eb0ad71189 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-annex-standalone Source: git-annex Version: 6.20180626+gitg12cd64369-1~ndall+1 Architecture: amd64 Maintainer: Richard Hartmann Installed-Size: 182591 Depends: git, openssh-client Recommends: lsof, gnupg, bind9-host, youtube-dl, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, adb, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp Conflicts: git-annex Breaks: datalad (<= 0.9.1) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_6.20180626+gitg12cd64369-1~ndall+1_amd64.deb Size: 64580080 SHA256: eb538f40db66fd749ae8ac6808d361d72e16c7540bfcca2e5638fe8e57c8a5ef SHA1: ac7f11c971c69600641d22aa6d91df6ee244f8b7 MD5sum: 5fdd51f0d2385e88cdcec23a3c2914d2 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing files with git, without checking the file contents into git. While that may seem paradoxical, it is useful when dealing with files larger than git can currently easily handle, whether due to limitations in memory, time, or disk space. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with a dozen cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: git-core Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8 Depends: neurodebian-popularity-contest, git (>> 1:1.7.0.2) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-core_2.14.1-3+nd0~nd100+1_all.deb Size: 1438 SHA256: 13bf22417ecc8cec3d7d273a8ca840b9dc9de8009fb1b692ac200dd0b263f699 SHA1: 2dd4cdec7a1767ce4de1b031a4ff0dbea62f12a0 MD5sum: e58cd20daf94ad8f4199135fef2a653d Description: fast, scalable, distributed revision control system (obsolete) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This is a transitional dummy package. The 'git-core' package has been renamed to 'git', which has been installed automatically. This git-core package is now obsolete, and can safely be removed from the system if no other package depends on it. Package: git-cvs Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1091 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), cvsps, libdbd-sqlite3-perl Suggests: git-doc, cvs Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-cvs_2.14.1-3+nd0~nd100+1_all.deb Size: 772470 SHA256: f5e9a0b9b24be9333021b7521d987548ccdfabe2597bc8a8c73cff581998ac9b SHA1: c837049edbbf4959ae7afd104c4d0b3f3e09b617 MD5sum: 6231448041d51b502f2ff56111e4ff8c Description: fast, scalable, distributed revision control system (cvs interoperability) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git cvsimport, cvsexportcommit, and cvsserver tools, which allow Git to read from and write to CVS repositories and offer access over CVS protocol to Git repositories. . The git cvsimport tool can incrementally import from a repository that is being actively developed and only requires remote access over CVS protocol. Unfortunately, in many situations the import leads to incorrect results. For reliable, one-shot imports, cvs2git from the cvs2svn package or parsecvs may be a better fit. Package: git-daemon-run Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 722 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), runit, adduser Conflicts: git-daemon-sysvinit Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-daemon-run_2.14.1-3+nd0~nd100+1_all.deb Size: 710936 SHA256: 12d569a037ab1f2b283f0035e22ecd6856635c9bf7221c293c100fba0dd2c556 SHA1: 376533153bb9685651364274a2eddc04430d2904 MD5sum: e3578e9bd7a4c03e0a4bd2aac1b1bbd6 Description: fast, scalable, distributed revision control system (git-daemon service) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . git-daemon, as provided by the git package, is a simple server for git repositories, ideally suited for read-only updates, i.e. pulling from git repositories through the network. This package provides a runit service for running git-daemon permanently. This configuration is simpler and more reliable than git-daemon-sysvinit, at a cost of being less familiar for administrators accustomed to sysvinit. Package: git-daemon-sysvinit Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 725 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), adduser, lsb-base (>= 3.0-6) Conflicts: git-daemon-run Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-daemon-sysvinit_2.14.1-3+nd0~nd100+1_all.deb Size: 712054 SHA256: 3cab612dada663c7fb4a793dd41e947d9f8d7179c5db5c9e10eb4dcc9f7e9927 SHA1: ef41ae9d35db9630c26dc1c2df42032326d6f533 MD5sum: 01d8eb217e8382ff9931a2c99446bc35 Description: fast, scalable, distributed revision control system (git-daemon service) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . git-daemon, as provided by the git package, is a simple server for git repositories, ideally suited for read-only updates, i.e. pulling from git repositories through the network. This package provides a sysvinit service for running git-daemon permanently. Unlike git-daemon-run, this package provides the usual sysvinit service management commands ("service git-daemon start/stop") for git-daemon. Package: git-dbgsym Source: git Version: 1:2.14.1-3+nd0~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 34237 Depends: git (= 1:2.14.1-3+nd0~nd100+1) Priority: extra Section: debug Filename: pool/main/g/git/git-dbgsym_2.14.1-3+nd0~nd100+1_amd64.deb Size: 32014660 SHA256: 561d461f6eb67417970b3c76726ebf5dabf5f486a00affe6f20bb6e91eca9397 SHA1: 7b8ada0f7e60f3f06000024789df1bb54b8b6956 MD5sum: 05e2968c814234132ad8a218cf482d4e Description: Debug symbols for git Build-Ids: 03a20434382d33d8749ad62a46ab91877467a8ab 03a20434382d33d8749ad62a46ab91877467a8ab 19c907b388f08097bda231f5157c5f83da4210dd 22eddeeb2a04a227366a6a1c27aa47f38ef20fa0 26094e4f2d664e320a4cdb4d01e18303cc41530c 2ca7e105b573b59f9e4beed827005571e1b1571a 323eb62ab0f76399aaa701441f2564dd0ddbe437 367da90621201dbaea2b13fb52c3f86d194c50e8 431e8c023413417ca24451e24e34f5baa647e80d 4d878506544ab7fd9977bb72180ad8ac3006bf36 4d878506544ab7fd9977bb72180ad8ac3006bf36 822e3c16101551a0bede610291dc858a5156bca2 99728b4740efcd2dbf5c77296fdb6ceee44abb9b 9ae9e958237c785256fa1de3437b8467adb455d1 bda3392a0c4d1633279008030296ac1515960e80 c66aab21cb399023d411f8d4bcf33ad273324c4b c66aab21cb399023d411f8d4bcf33ad273324c4b cb7dc435653d8504efd271942cfd2ca56059b02a de9261bcb405708855b85548a0a94ebd565c9144 Package: git-doc Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10519 Depends: neurodebian-popularity-contest Suggests: git, git-cvs, git-svn, git-email, gitk, gitweb Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: doc Filename: pool/main/g/git/git-doc_2.14.1-3+nd0~nd100+1_all.deb Size: 1585906 SHA256: 2230bee85d6b29467c88498c56f40a23a19cd5e27cd3c8c84618f2ec377fcff6 SHA1: 1b6d6b5daaaa0724c6584d146c346f00ae1cacc9 MD5sum: 7e58017869e7f90258ad9639455a09c5 Description: fast, scalable, distributed revision control system (documentation) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the documentation. Package: git-el Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 817 Depends: neurodebian-popularity-contest, git (>= 1:1.7.4.1-2~), emacs | emacsen Breaks: git (<< 1:1.7.4.1-2~) Replaces: git (<< 1:1.7.4.1-2~) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-el_2.14.1-3+nd0~nd100+1_all.deb Size: 728872 SHA256: 9a0d9683fc4d86719841d1d04a955d226b882b6f90e4ed793a1f321e02b0192c SHA1: ea6e96fbeaad6fe19df0f273477e028a48d6263c MD5sum: 157f4fe3578647fa42c90e811b8dabd2 Description: fast, scalable, distributed revision control system (emacs support) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides two modules for integration with Emacs: . * git.el: . Status manager that displays the state of all the files of the project and provides easy access to the most frequently used git commands. The user interface is intended to be similar to the pcl-cvs mode. It can be started with `M-x git-status'. . * git-blame.el: . Emacs implementation of incremental "git blame". When you turn it on while viewing a file, the editor buffer will be updated by setting the background of individual lines to a color that reflects which commit it comes from. . This package does not contain the VC-mode backend for git. That is part of standard Emacs distributions, starting with version 22.2. . For a more polished Emacs interface for Git, see the magit package. Package: git-email Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 775 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.) Recommends: libemail-valid-perl, perl (>> 5.21.5) | libnet-smtp-ssl-perl, libauthen-sasl-perl, libio-socket-ssl-perl (>= 1.951) Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-email_2.14.1-3+nd0~nd100+1_all.deb Size: 732944 SHA256: 3756b55710ee66a2981c63046e1d4624e3e5e99a8e2a5877a4df4b717e5fe7e8 SHA1: 055634b2c0ed3dd0ee4b5d67c9168c092ea3b4c5 MD5sum: ccbf370a782b3b17eeebf302308e8ce4 Description: fast, scalable, distributed revision control system (email add-on) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git-send-email program for sending series of patch emails. Package: git-gui Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2185 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), tk Recommends: gitk Suggests: git-doc, aspell Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-gui_2.14.1-3+nd0~nd100+1_all.deb Size: 918816 SHA256: da493de86bbb62d3f7e42bb8fabe4d0104e22c45027017715480a838d22ea510 SHA1: 18ad6128eb4c94282c3e258855609e2aac0b5025 MD5sum: efb7a39fcd97e486bc133b836d3e4c57 Description: fast, scalable, distributed revision control system (GUI) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git graphical user interface. . If aspell is installed, it can check the spelling of commit messages as the user types. Package: git-man Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1537 Depends: neurodebian-popularity-contest Breaks: git (<< 1:1.7.4~rc1) Replaces: git (<< 1:1.7.4~rc1), git-core (<< 1:1.7.0.4-1.) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: doc Filename: pool/main/g/git/git-man_2.14.1-3+nd0~nd100+1_all.deb Size: 1490768 SHA256: 60768c43ceeb870014471d13a22f3c6f9996ec4ee0773fe6b593e58fed57bdad SHA1: bfaafc6fd84f26962464848ef24237f480ef8731 MD5sum: 42d0c986fc290aa8da99bc67491cda85 Description: fast, scalable, distributed revision control system (manual pages) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides reference documentation for use by the 'man' utility and the 'git help' command. Package: git-mediawiki Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 768 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), libmediawiki-api-perl (>= 0.39), liblwp-protocol-https-perl, libdatetime-format-iso8601-perl Suggests: mediawiki Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-mediawiki_2.14.1-3+nd0~nd100+1_all.deb Size: 725034 SHA256: 8b3868d65dd049b699ca919e7dcb67dee520cf0e5be1e19f76fe327fcf826d44 SHA1: 2900528438f76befe214ea7c665e072f935e6e4c MD5sum: b91ef7c4db135e294e8ddefa4a614199 Description: fast, scalable, distributed revision control system (MediaWiki remote helper) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the mediawiki remote helper, which allows Git to read from and write to a wiki such as Wikipedia as though it were a remote Git repository, and a 'git mw' command that can show a preview of how wiki markup will be rendered before pushing. Package: git-svn Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 970 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), libsvn-perl, libyaml-perl, libterm-readkey-perl Suggests: git-doc, subversion Breaks: git (<< 1:1.8.3~rc1-1.) Replaces: git (<< 1:1.8.3~rc1-1.) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-svn_2.14.1-3+nd0~nd100+1_all.deb Size: 795166 SHA256: f755d38a86700c5a0f553673a04ee999771e5a5eb572f840f350232b084eadf2 SHA1: fb1becb6cadf5d1f9d8257918265b4d05e2ce88c MD5sum: 416543b80967f0b0fcb3fb64c538dd8d Description: fast, scalable, distributed revision control system (svn interoperability) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides tools for interoperating with Subversion repositories, and importing SVN development history. Package: gitk Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1458 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), tk Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitk_2.14.1-3+nd0~nd100+1_all.deb Size: 839752 SHA256: 840ffc4b786104116f897d111cf15c45f295c0007ad45a9e425f819992218609 SHA1: bc8c8b621eac67530fea03d7c203104e7c088855 MD5sum: a943adebb28a641b4e5469d3a52cc6bb Description: fast, scalable, distributed revision control system (revision tree visualizer) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the gitk program, a tcl/tk revision tree visualizer. Package: gitweb Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 732 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), perl, libcgi-pm-perl Recommends: apache2 (>= 2.4.6-4~) | lynx-cur | httpd, libhttp-date-perl | libtime-modules-perl Suggests: httpd-cgi | libcgi-fast-perl, git-doc Breaks: apache2.2-common (<< 2.3~) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitweb_2.14.1-3+nd0~nd100+1_all.deb Size: 713602 SHA256: 52ef875e16d42d96d83690d4681cd9a13d2332568b4501e331369e9059aca6b3 SHA1: 183d2626a7a22854c335979e1c4e9eb58d565209 MD5sum: 66e297e14e3f97fcff4ffdbbcfff241c Description: fast, scalable, distributed revision control system (web interface) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package configures a web interface for browsing git repositories. . If apache2 is installed, the web interface is automatically made available at http://localhost/gitweb. Other servers that support CGI or mod_perl are supported through manual configuration. . If libcgi-fast-perl is installed, gitweb can also be run over FastCGI (and served by nginx, for example). Package: golang-github-ncw-rclone-dev Source: rclone Version: 1.41-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 2492 Depends: golang-bazil-fuse-dev, golang-github-aws-aws-sdk-go-dev, golang-github-mreiferson-go-httpclient-dev, golang-github-ncw-go-acd-dev, golang-github-ncw-swift-dev, golang-github-pkg-errors-dev, golang-github-pkg-sftp-dev, golang-github-rfjakob-eme-dev, golang-github-skratchdot-open-golang-dev, golang-github-spf13-cobra-dev, golang-github-spf13-pflag-dev, golang-github-stacktic-dropbox-dev, golang-github-stretchr-testify-dev, golang-github-tsenart-tb-dev, golang-github-unknwon-goconfig-dev, golang-github-vividcortex-ewma-dev, golang-golang-x-crypto-dev, golang-golang-x-net-dev, golang-golang-x-oauth2-google-dev, golang-golang-x-sys-dev, golang-golang-x-text-dev, golang-google-api-dev Homepage: https://github.com/ncw/rclone Priority: optional Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.41-1~ndall0_all.deb Size: 399416 SHA256: 528b53f3312375d31d5cebb95472a57272cf242e14a92cfdf99c45be2ff5511d SHA1: 75f8871fd668e815023267a857b37ad60b9d1c2f MD5sum: a87865eafe10185420838e2e4ffd7b55 Description: go source code of rclone Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers. . This package contains rclone's source code. Package: heudiconv Version: 0.5-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 201 Depends: neurodebian-popularity-contest, dcm2niix, python, python-dcmstack, python-dicom, python-nibabel, python-pathlib, python-numpy, python-nipype Recommends: python-pytest, python-datalad Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.5-1~nd100+1_all.deb Size: 49584 SHA256: bc3b7c9a392b8f7cc4284e8053b541e26a4690415c6662be0c96c6fd6c2c8179 SHA1: 194f3af88395b4132fae7c9dc84a6868888d1398 MD5sum: a1a040ea8cff47e203cd1f8d70c64a56 Description: DICOM converter with support for structure heuristics This is a flexible dicom converter for organizing brain imaging data into structured directory layouts. It allows for flexible directory layouts and naming schemes through customizable heuristics implementations. It only converts the necessary dicoms, not everything in a directory. It tracks the provenance of the conversion from dicom to nifti in w3c prov format. Package: htcondor Source: condor Version: 8.6.8~dfsg.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 13881 Depends: neurodebian-popularity-contest, adduser, debconf (>= 0.5) | debconf-2.0, libdate-manip-perl, python, lsb-base (>= 3.0-6), libclassad8 (= 8.6.8~dfsg.1-1~nd100+1), perl:any, libc6 (>= 2.15), libcgroup1 (>= 0.37.1), libcomerr2 (>= 1.01), libcurl3 (>= 7.16.2), libexpat1 (>= 2.0.1), libgcc1 (>= 1:3.0), libglobus-callout0 (>= 3), libglobus-common0 (>= 17), libglobus-ftp-client2 (>= 7), libglobus-gass-transfer2 (>= 7), libglobus-gram-client3 (>= 12), libglobus-gram-protocol3 (>= 11), libglobus-gsi-callback0 (>= 4), libglobus-gsi-cert-utils0 (>= 8), libglobus-gsi-credential1 (>= 6), libglobus-gsi-openssl-error0 (>= 2), libglobus-gsi-proxy-core0 (>= 8), libglobus-gsi-proxy-ssl1 (>= 4), libglobus-gsi-sysconfig1 (>= 8), libglobus-gss-assist3 (>= 11), libglobus-gssapi-error2 (>= 4), libglobus-gssapi-gsi4 (>= 13), libglobus-io3 (>= 11), libglobus-openssl-module0 (>= 3), libglobus-rsl2 (>= 9), libglobus-xio0 (>= 5), libgomp1 (>= 4.9), libgsoap-2.8.49, libgssapi-krb5-2 (>= 1.6.dfsg.2), libk5crypto3 (>= 1.6.dfsg.2), libkrb5-3 (>= 1.13~alpha1+dfsg), libkrb5support0 (>= 1.7dfsg~beta2), libldap-2.4-2 (>= 2.4.7), libltdl7 (>= 2.4.6), libpcre3, libssl1.1 (>= 1.1.0), libstdc++6 (>= 5.2), libuuid1 (>= 2.16), libvirt0 (>= 0.5.0), libx11-6, libxext6, libxss1, zlib1g (>= 1:1.1.4) Recommends: dmtcp, ecryptfs-utils Suggests: docker.io, coop-computing-tools, singularity-container, slurm-client Breaks: condor (<< 8.0.5~) Replaces: condor (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: science Filename: pool/main/c/condor/htcondor_8.6.8~dfsg.1-1~nd100+1_amd64.deb Size: 3910756 SHA256: 4dac41906b740a3fa56a0a8a9686248b65d2785b4a804b36ba97af1c274b3f35 SHA1: 4d48f52cf60b81058361c1e0eff8d94b296032ca MD5sum: 673d5097a86ff52ac165d820ca287400 Description: distributed workload management system Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package can set up an appropriate initial configuration at install time for a machine intended either as a member of an existing HTCondor pool or as a "Personal" (single machine) HTCondor pool. Package: htcondor-dbg Source: condor Version: 8.6.8~dfsg.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 40313 Depends: neurodebian-popularity-contest, htcondor (= 8.6.8~dfsg.1-1~nd100+1) Breaks: condor-dbg (<< 8.0.5~) Replaces: condor-dbg (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: debug Filename: pool/main/c/condor/htcondor-dbg_8.6.8~dfsg.1-1~nd100+1_amd64.deb Size: 38288616 SHA256: 0abe7e5990b38986e1374ced857a8827b4a173759ed502e1457b896cb26c51f1 SHA1: 35dc80c57cf00983b317113693a1d24dcd2d037c MD5sum: 80eae8ae24a51886273d125767aca5d4 Description: distributed workload management system - debugging symbols Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides the debugging symbols for HTCondor. 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Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides headers and libraries for development of HTCondor add-ons. Package: htcondor-doc Source: condor Version: 8.6.8~dfsg.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6226 Depends: neurodebian-popularity-contest Breaks: condor-doc (<< 8.0.5~) Replaces: condor-doc (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: doc Filename: pool/main/c/condor/htcondor-doc_8.6.8~dfsg.1-1~nd100+1_all.deb Size: 1087168 SHA256: af43decd2d983deba34ff8a7c1001c7b0e5095b637b73f54f646b0e2c8124d45 SHA1: c8627c789c55859bbb2a0beb13e70523d0f3f5f8 MD5sum: 31097e9b3639054503c5b5c90bf87dd9 Description: distributed workload management system - documentation Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides HTCondor's documentation in HTML and PDF format, as well as configuration and other examples. Package: impressive Version: 0.12.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 474 Depends: neurodebian-popularity-contest, python, python-pygame, python-pil, mupdf-tools (>= 1.5) | xpoppler-utils Recommends: mplayer, ffmpeg, pdftk, perl, xdg-utils Suggests: ghostscript, latex-beamer Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.12.0-1~nd100+1_all.deb Size: 190564 SHA256: a8736010962f01e43ceb2646d21da7d5fe253f86c72df3419e3e65703111fe72 SHA1: f056d19d8fdb2167d62cdd9a56bad387a0ec3a07 MD5sum: 89a3109495bfb3dc17ac8dc11c5deafb Description: PDF presentation tool with eye candies Impressive is a program that displays presentation slides using OpenGL. Smooth alpha-blended slide transitions are provided for the sake of eye candy, but in addition to this, Impressive offers some unique tools that are really useful for presentations. Some of them are: * Overview screen * Highlight boxes * Spotlight effect * Presentation scripting and customization * Support of movies presentation * Active hyperlinks within PDFs Package: isympy-common Source: sympy Version: 1.1.1-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 222 Depends: neurodebian-popularity-contest, python:any | python:any Recommends: isympy | isympy3 Conflicts: isympy (<< 1.0-2) Breaks: python-sympy (<< 0.7.5-4) Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/isympy-common_1.1.1-4~nd100+1_all.deb Size: 189772 SHA256: e3084ee172aa36faa0f6062be956b00db74f1f8933cf932545310e600927a727 SHA1: 9289176adf24d1ce8509a00a0e428beb3e97f174 MD5sum: c0908a061287e8de921fad0e0657f877 Description: Python shell for SymPy SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This support package contains the common isympy python script, a wrapper for SymPy which can be invoked with either python2 or python3. . Install the isympy or isympy3 package to ensure all required dependencies are loaded. Package: isympy3 Source: sympy Version: 1.1.1-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20 Depends: neurodebian-popularity-contest, isympy-common, python3-sympy Recommends: ipython3 Provides: isympy Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/isympy3_1.1.1-4~nd100+1_all.deb Size: 7796 SHA256: f46c60c13c29d07238a557020833b944777c7853efcfb9ac52061cff3394e07e SHA1: b8a16dd655220377f5c82505ebe7cf2e2613e60a MD5sum: 818447d6f3d38c5321cd3d777d18e3ff Description: Python3 shell for SymPy SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains a Python3 shell (IPython shell if you have the ipython3 package installed) wrapper for SymPy. Package: libclassad-dev Source: condor Version: 8.6.8~dfsg.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 1454 Depends: neurodebian-popularity-contest, libclassad8 (= 8.6.8~dfsg.1-1~nd100+1) Conflicts: libclassad0-dev Replaces: libclassad0-dev Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libdevel Filename: pool/main/c/condor/libclassad-dev_8.6.8~dfsg.1-1~nd100+1_amd64.deb Size: 249788 SHA256: f1bd7866bb31ada48baeee8c39284a83baca9d856081ea234ac8e384c4a39ca1 SHA1: a57a6f3a5cdd13013edffe68a7ef14194f009573 MD5sum: ede161b437f0a9f78433ad9362a31d5b Description: HTCondor classads expression language - development library Classified Advertisements (classads) are the lingua franca of HTCondor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the HTCondor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the static library and header files. Package: libclassad8 Source: condor Version: 8.6.8~dfsg.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 629 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libpcre3, libstdc++6 (>= 5.2) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libs Filename: pool/main/c/condor/libclassad8_8.6.8~dfsg.1-1~nd100+1_amd64.deb Size: 199232 SHA256: b1bc4de2566553e22b2af7837c51cb0396221dcc8247522f2035ea04737d6c70 SHA1: 981705bef12d9ecccd7fb6362cad661d505ae49f MD5sum: a43887d46c3c2d5439f6180ebe81d0d1 Description: HTCondor classads expression language - runtime library Classified Advertisements (classads) are the lingua franca of HTCondor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the HTCondor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the runtime library. Package: libgiftiio-dev Source: gifticlib Version: 1.0.9-2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 241 Depends: neurodebian-popularity-contest, libgiftiio0 (= 1.0.9-2~nd100+1), libnifti-dev Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libdevel Filename: pool/main/g/gifticlib/libgiftiio-dev_1.0.9-2~nd100+1_amd64.deb Size: 48028 SHA256: 7f8e6c26d26ce0006f5cc0561cdac82d6de01a6bcf4c77fac7e3874f3de0676a SHA1: 0dec8b3e00c1e7a0d26a882b477256e4247e11a8 MD5sum: 1ea3ccd4d568da9149e8e06a21b02a01 Description: IO library for the GIFTI cortical surface data format GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package provides the header files and static library. Package: libgiftiio0 Source: gifticlib Version: 1.0.9-2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 159 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libexpat1 (>= 2.0.1), libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libs Filename: pool/main/g/gifticlib/libgiftiio0_1.0.9-2~nd100+1_amd64.deb Size: 45056 SHA256: 9af1902333e4e843130059d143073ae68da142bc80eb813a42aa2c4facfb4ece SHA1: 0ffbb2fe0e96d8467f272417f624fe6842ed8e00 MD5sum: 87d0f3328d57b2b2c61fd4b13cfd4aad Description: IO library for the GIFTI cortical surface data format GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package contains the shared library. Package: libgiftiio0-dbgsym Source: gifticlib Version: 1.0.9-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: libgiftiio0 (= 1.0.9-2~nd100+1) Priority: optional Section: debug Filename: pool/main/g/gifticlib/libgiftiio0-dbgsym_1.0.9-2~nd100+1_amd64.deb Size: 5236 SHA256: b335d4ed2d3f6fd5b7393f4299a4cc7e8ae63c37b0256679e78e1dcb59723cc6 SHA1: 8db6298871355e6b417cb056b3dbad3356ad7a0a MD5sum: b1b0d71165b031eff08bd8c63e7f8c0e Description: debug symbols for libgiftiio0 Build-Ids: a27e7d68e727595a97a04f6d13981d38ae5347d2 Package: nuitka Version: 0.5.31+ds-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7059 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python-appdirs | base-files (<< 7.2), python3-appdirs | base-files (<< 7.2), python-dev (>= 2.6.6-2), python3-dev, python3:any (>= 3.3.2-2~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-lxml (>= 2.3), python-pyqt5, strace, chrpath Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.5.31+ds-1~nd100+1_all.deb Size: 742760 SHA256: 9d084eea75f6b1294acbd00f063b2d1f2c5275b4062571bafe966a96da9648aa SHA1: aa1c41f810ed67d7178871ffcd4347cc2ad6c5ea MD5sum: f492a71220e996200937e633eac9e802 Description: Python compiler with full language support and CPython compatibility This Python compiler achieves full language compatibility and compiles Python code into compiled objects that are not second class at all. Instead they can be used in the same way as pure Python objects. Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.14.20180526.dfsg1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4487 Depends: neurodebian-popularity-contest, octave (>= 4.2.2), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.14), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgcc1 (>= 1:3.0), libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgomp1 (>= 4.2.1), libgstreamer-plugins-base1.0-0 (>= 1.0.0), libgstreamer1.0-0 (>= 1.0.0), liboctave4, libopenal1 (>= 1.14), libpciaccess0 (>= 0.10.7), libstdc++6 (>= 4.1.1), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libx11-xcb1, libxcb-dri3-0, libxcb1, libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxml2 (>= 2.6.27), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.14.20180526.dfsg1-1~nd100+1), psychtoolbox-3-lib (= 3.0.14.20180526.dfsg1-1~nd100+1) Recommends: octave-audio, octave-image, octave-optim, octave-signal, octave-statistics, octave-pkg-dev Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.14.20180526.dfsg1-1~nd100+1_amd64.deb Size: 892236 SHA256: 10a22a0ea0a1eedb087a3288a6d0d7c7dcf93d1e780287f95495e3286f81562d SHA1: beff09f6e2cf2cc4501246806129ca2c124cdd1c MD5sum: 944dfd3b61dd47682f457fe940f4567c Description: toolbox for vision research -- Octave bindings Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . See also http://www.psychtoolbox.org/UsingPsychtoolboxOnUbuntu for additional information about systems tune-up and initial configuration. . This package contains bindings for Octave. Package: patool Version: 1.12-3+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: file Suggests: arj, bzip2 | lbzip2 | pbzip2, cabextract | lcab, ncompress, cpio | bsdcpio, lzop, p7zip-full, rar | unrar | zip | unzip, rpm2cpio, binutils, lha, unace | unace-nonfree | nomarch, unalz, lrzip (>= 0.551), tar (>= 1.26) | bsdtar, xdms, orange, lzip | plzip | clzip | pdlzip, sharutils, flac, archmage, genisoimage, python-argcomplete Homepage: http://wummel.github.io/patool/ Priority: optional Section: utils Filename: pool/main/p/patool/patool_1.12-3+nd1~nd100+1_all.deb Size: 37380 SHA256: ea6ce2e19856da4fddccd0842d7503abf3ede3ae43b13665dbead8dadd21ad68 SHA1: 4c8fc00a771d538d752300982947bce0cd8acdba MD5sum: 7496ce2ca5630d264e2765e27d22c710 Description: command line archive file manager Various archive formats can be created, extracted, tested, listed, compared, searched and repacked by patool. The archive format is determined with file and as a fallback by the archive file extension. . patool supports 7z (.7z), ACE (.ace), ADF (.adf), ALZIP (.alz), AR (.a), ARC (.arc), ARJ (.arj), BZIP2 (.bz2), CAB (.cab), compress (.Z), CPIO (.cpio), DEB (.deb), DMS (.dms), FLAC (.flac), GZIP (.gz), ISO (.iso), LZH (.lha, .lzh), LZIP (.lz), LZMA (.lzma), LZOP (.lzo), RAR (.rar), RPM (.rpm), RZIP (.rz), SHAR (.shar), SHN (.shn), TAR (.tar), XZ (.xz), ZIP (.zip, .jar) and ZOO (.zoo) formats. . It relies on helper applications to handle those archive formats (for example bzip2 for BZIP2 archives). . The archive formats TAR, ZIP, BZIP2 and GZIP are supported natively and do not require helper applications to be installed. Package: psychopy Version: 1.85.3.dfsg-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15994 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk3.0, python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-opencv, python-imaging, python-serial, python-pyo, python-psutil, python-requests, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libxxf86vm1, ipython, python-future Suggests: python-iolabs, python-pyxid, libavbin0 Conflicts: libavbin0 (= 7-4+b1) Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.85.3.dfsg-1~nd100+1_all.deb Size: 6666356 SHA256: 501be7b5d955e73a73fcc0cc523a542e2b9855a7d9efedfd5e7870c7e53d1522 SHA1: 1faf53e1e15af8a16d1a4719a3f15e3d4e5a1aa2 MD5sum: 7b6d3d65bf52fd741280b91b52cd2f82 Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.7 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.14.20180526.dfsg1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 253835 Depends: neurodebian-popularity-contest Recommends: alsa-utils Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.14.20180526.dfsg1-1~nd100+1_all.deb Size: 24276540 SHA256: 941a4475a25dfc474a985d22bc8c8eba4f8d10091c6470ede84481f0895409ca SHA1: 92e2efb3814a417cb4f1c9f41f7c7d8d35ed51a0 MD5sum: 27cc3df3058a893086f8c20d848cb926 Description: toolbox for vision research -- arch/interpreter independent part Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains architecture independent files (such as .m scripts) Package: psychtoolbox-3-dbg Source: psychtoolbox-3 Version: 3.0.14.20180526.dfsg1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 18685 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.14.20180526.dfsg1-1~nd100+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.14.20180526.dfsg1-1~nd100+1_amd64.deb Size: 1260564 SHA256: c316af916406d7f2a76fdf8083c9a1598a30134583da03d57c5a1bbabf26e178 SHA1: 4a0d09ca55db483e2bc4bf5e60736bfe5efac00e MD5sum: 56ba719026ffca7ad6aa7b5ea965f9be Description: toolbox for vision research -- debug symbols for binaries Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . To ease debugging and troubleshooting this package contains debug symbols for Octave bindings and other binaries. Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.14.20180526.dfsg1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 191 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 5) Recommends: gstreamer1.0-plugins-base, gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, gstreamer1.0-libav Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.14.20180526.dfsg1-1~nd100+1_amd64.deb Size: 73432 SHA256: bd6de21db2a8cc9caae14cb77da6bbc3aff3a03d69e7fa7b9512f65ba51432f6 SHA1: 057f6786b685c3bb059d67c3b360005ec0720ce4 MD5sum: adae3913f0e2f39decc3bad0cd5b5973 Description: toolbox for vision research -- arch-specific parts Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: pypy-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, pypy Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/pypy-json-tricks_3.11.0-1~nd100+1_all.deb Size: 19024 SHA256: 709d887281049d7b85ea050c05dc2a50dcfa6b11c05d1182f77750baf47c7ba0 SHA1: 37a98fbae6cfd1a8c4e479873857f93309992b75 MD5sum: 705a5fa9004f128f563934ce5012b49b Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: pypy-six Source: six Version: 1.10.0-3~bpo8+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, pypy Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/pypy-six_1.10.0-3~bpo8+1~nd100+1_all.deb Size: 14650 SHA256: 76fdeb72716499c4357486c73e1a178d3605b98757ec12dbaf0c6c16088fe518 SHA1: 769f10e69f65697be25a312a5d4a262c7f658d39 MD5sum: eb23aaa893aa6184e71f86efa5279af6 Description: Python 2 and 3 compatibility library (PyPy interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the PyPy module path. It is complemented by python-six and python3-six. Package: python-boto Version: 2.44.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, python-requests, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six Provides: python2.7-boto Homepage: https://github.com/boto/boto Priority: optional Section: python Filename: pool/main/p/python-boto/python-boto_2.44.0-1~nd100+1_all.deb Size: 739672 SHA256: f89652b2bc2804fa9d8c00d9178837e68dc41d267695af38f087ae9ef87af067 SHA1: 19f010e86b66d5d04e72b9aa9b84eb4d2379bf3a MD5sum: fcaeee51e2b238b07d7ebae004f7f72b Description: Python interface to Amazon's Web Services - Python 2.x Boto is a Python interface to the infrastructure services available from Amazon. . Boto supports the following services: * Elastic Compute Cloud (EC2) * Elastic MapReduce * CloudFront * DynamoDB * SimpleDB * Relational Database Service (RDS) * Identity and Access Management (IAM) * Simple Queue Service (SQS) * CloudWatch * Route53 * Elastic Load Balancing (ELB) * Flexible Payment Service (FPS) * Simple Storage Service (S3) * Glacier * Elastic Block Store (EBS) * and many more... . This package provides the Python 2.x module. Package: python-chardet Source: chardet Version: 3.0.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python-chardet_3.0.4-1~nd100+1_all.deb Size: 80396 SHA256: cfdb639d4027edd28db73da5a2bfc3e9af9e93f313397722b8ac4dfa580cc95a SHA1: 5403e92e3264577bf3c9810eb176390a9fcc9ed1 MD5sum: edb727b1d260695644fb9835d55d77f1 Description: universal character encoding detector for Python2 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. Package: python-datalad Source: datalad Version: 0.10.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4176 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180509~) | git-annex-standalone (>= 6.20180509~), patool, python-appdirs, python-fasteners, python-git (>= 2.1.6~), python-humanize, python-iso8601, python-keyrings.alt | python-keyring (<= 8), python-secretstorage, python-keyring, python-mock, python-msgpack, python-pil, python-requests, python-simplejson, python-six (>= 1.8.0), python-tqdm, python-wrapt, python-boto, python-chardet, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-exif, python-github, python-jsmin, python-html5lib, python-httpretty, python-libxmp, python-lzma, python-mutagen, python-nose, python-pyperclip, python-requests-ftp, python-vcr, python-whoosh Suggests: python-duecredit, python-bs4, python-numpy Provides: python2.7-datalad Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python-datalad_0.10.2-1~nd100+1_all.deb Size: 865904 SHA256: 49f4529ce435031f572181a706c3b15dbd4b887f39dee821e912ae5031d303de SHA1: b9c96a5195feda37676732b8b708f51110266f49 MD5sum: 7ed06b757b4608594dd7a938dd9d5c9c Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 2, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python-dcmstack Source: dcmstack Version: 0.6.2+git36-gc12d27d-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 496 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-sphinxdoc (>= 1.0) Provides: python2.7-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: python Filename: pool/main/d/dcmstack/python-dcmstack_0.6.2+git36-gc12d27d-1~nd100+1_all.deb Size: 75120 SHA256: 773309ae78fbc02bffa4b6b87bb10748a4b0cba74fdaca6a6fac2c83979d5d65 SHA1: ad39cb6f1cc8d663a6b633f63dac597e206aa768 MD5sum: 779a2c61a82ac439f1e28c83c52942ef Description: DICOM to NIfTI conversion DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python package, and command line tools (dcmstack, and nitool), as well as the documentation in HTML format. Package: python-deprecation Version: 1.0.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python-deprecation_1.0.1-1~nd100+1_all.deb Size: 8510 SHA256: 904e099f90b7871c149adbd3d7be35e8e3c9098be821c339ef1aff04faec03d2 SHA1: 92c0e437c4fd51cde8ffb52c35c6fd0a88152393 MD5sum: 0588bedde980f3c0c12eb56df1e933da Description: Library to handle automated deprecations - Python 2.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 2.x module. Package: python-dicom Source: pydicom Version: 1.1.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python-pydicom Homepage: https://pydicom.github.io Priority: optional Section: oldlibs Filename: pool/main/p/pydicom/python-dicom_1.1.0-2~nd100+1_all.deb Size: 4752 SHA256: 0b96dfc019cff010fa98557ee613597c23d79e6dda72de0515b48d74fef35c26 SHA1: 25aaaad54524d88c65acfcec3684440351fdb7ef MD5sum: e663c78319adb379f2017ebfbb90d2be Description: transitional package for python-pydicom This is a transitional package. It can safely be removed. Package: python-dipy Source: dipy Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8634 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-h5py, python-dipy-lib (>= 0.14.0-1~nd100+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel (>= 2.1.0) Suggests: ipython Provides: python2.7-dipy Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy_0.14.0-1~nd100+1_all.deb Size: 3062240 SHA256: 87b0e6e79a27969c020a7850b4b8ddb02e5a386540b9eb41e8d920509df9e0c6 SHA1: 03fb60cb9818fdb2eff868172343c0c329331904 MD5sum: 8c62f74ba229ddbc44e665c406f40ca8 Description: Python library for the analysis of diffusion MRI datasets DIPY is a software project for computational neuroanatomy. It focuses on diffusion magnetic resonance imaging (dMRI) analysis and tractography but also contains implementations of other computational imaging methods such as denoising and registration that are applicable to the greater medical imaging and image processing communities. Additionally, DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging. . Here are some of the highlights: - Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE and MAPMRI - Fiber tracking algorithms: deterministic and probabilistic - Native linear and nonlinear registration of images - Fast operations on streamlines (selection, resampling, registration) - Tractography segmentation and clustering - Many image operations, e.g., reslicing or denoising with NLMEANS - Estimation of distances/correspondences between streamlines and connectivity matrices - Interactive visualization of streamlines in the space of images Python-Version: 2.7 Package: python-dipy-doc Source: dipy Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16479 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://dipy.org Priority: extra Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.14.0-1~nd100+1_all.deb Size: 12643476 SHA256: 123fac32659bfd4fc535b3a70cfe64c6045be1440b02b76b08df43c4c817ed56 SHA1: 6a4dc8a19cb65eaea8c17736146c075459b91ef5 MD5sum: 05285aa2476a109e45f45698615586d6 Description: Python library for the analysis of diffusion MRI datasets -- documentation DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format. Package: python-dipy-lib Source: dipy Version: 0.14.0-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11797 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.13.1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.14), libgomp1 (>= 4.9) Provides: python2.7-dipy-lib Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.14.0-1~nd100+1_amd64.deb Size: 2131084 SHA256: ab4ebb8bab05b10dc646ad44a5738539f06c51c3ca88214b701a918ad6aef21a SHA1: cf83a3385d82bb3f775dcbf13a739e2bbe29597c MD5sum: 57da65648f47ad5f2adbb935c67ca71d Description: Python library for the analysis of diffusion MRI datasets -- extensions DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides architecture-dependent builds of the extensions. 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It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python-exif Version: 2.1.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-exif Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python-exif_2.1.2-1~nd100+1_all.deb Size: 30928 SHA256: 158580cf80d19da4c435467fc6b0418f7b3ca637fb163ce8b96b44d2fb54680c SHA1: 908d673c2cd2f0a290bbe49bb4ddcdd2d2c82f5c MD5sum: 9935895be8bb82e580f54b9746610b47 Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 2.x module. Package: python-fasteners Version: 0.12.0-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python-monotonic, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python-fasteners_0.12.0-3~nd100+1_all.deb Size: 14692 SHA256: 0c5c304431fdcd9c91c4d6967b416d0912899d3b799fb3b60607509548c42743 SHA1: 84dc47a34579319adf92251bc37f0abef6f569c5 MD5sum: c35ece3854c2074030c22ba838b26174 Description: provides useful locks - Python 2.7 Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 2.7 module. Package: python-fsl Source: fslpy Version: 1.2.2-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-six (>= 1.0~), python-deprecation, python-indexed-gzip, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-wxgtk3.0 Conflicts: fsl-melview (<= 1.0.1+git9-ge661e05~dfsg.1-1) Provides: python2.7-fsl Priority: optional Section: python Filename: pool/main/f/fslpy/python-fsl_1.2.2-2~nd100+1_all.deb Size: 84288 SHA256: c5357959469fdc74ded339915381ef8b4b23310085c9c2519cf42f0f8523939a SHA1: ae1828d72360b9364dd3de0395fca492cf0084eb MD5sum: 36b211ec8891ac559838de1ac696d4d5 Description: FSL Python library Support library for FSL. . This package provides the Python 2 module. Package: python-fsleyes-props Source: fsleyes-props Version: 1.2.1-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Conflicts: python-props (<= 1.0~) Replaces: python-props Provides: python-props, python2.7-fsleyes-props Priority: optional Section: python Filename: pool/main/f/fsleyes-props/python-fsleyes-props_1.2.1-3~nd100+1_all.deb Size: 75408 SHA256: 7970b4f572d0f97b70ac5e603fac9c3d260f38282eb1a60d29c87c7547c11d22 SHA1: 0ac50da293c6d0e7dbf81677639170f6fc353d17 MD5sum: 9127dcd1be874f7695d5abc26890505c Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-fsleyes-widgets Source: fsleyes-widgets Version: 0.2.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 375 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-fsleyes-widgets Priority: optional Section: python Filename: pool/main/f/fsleyes-widgets/python-fsleyes-widgets_0.2.0-2~nd100+1_all.deb Size: 69076 SHA256: 5e90d641332bf9faeae2713e69888f69c12325b9aa3ef002a5e6adbcc750f139 SHA1: b3b15e74b16d8b8cd84791d81e95a7331fd39c78 MD5sum: 1aa0af40996d1f415623ab23858cadd0 Description: Python descriptor framework A collection of GUI widgets and utilities, based on wxPython. . This package provides the Python 2 module. Package: python-git Version: 2.1.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1654 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python-gitdb (>= 2), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-smmap, python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_2.1.8-1~nd100+1_all.deb Size: 303368 SHA256: 6eef740fc676ea9a40c8fb116383eb7d82e2723684420efcebe977986b5d2325 SHA1: 8d15056d098fc781f0a660a13d342a9a6afb6700 MD5sum: c830187684dc735f551d5ffd5131eac1 Description: Python library to interact with Git repositories - Python 2.7 python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 2.7 module. Python-Version: 2.7 Package: python-git-doc Source: python-git Version: 2.1.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 967 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_2.1.8-1~nd100+1_all.deb Size: 125820 SHA256: 641d9586b50a39a16347d8811ce80bb4f0cc35095d4b2d41c5819540cb898b8a SHA1: 142f1cf3a29de0721dbec82a440b383b805531bf MD5sum: 24c4f668da56516a30f7d94d0064cbe2 Description: Python library to interact with Git repositories - docs python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the documentation. Package: python-httpretty Version: 0.8.14-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python-urllib3, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python-httpretty_0.8.14-1~nd100+1_all.deb Size: 21036 SHA256: 53043152c774e368b9f143ec88f5f294acb2443cf232e400ca2f836f6ef50702 SHA1: e48332307a50a4cb27236483ef029d8070c6e016 MD5sum: 126c0875fb99c2b83e2e2bb37ebb8f46 Description: HTTP client mock - Python 2.x Once upon a time a Python developer wanted to use a RESTful API, everything was fine but until the day he needed to test the code that hits the RESTful API: what if the API server is down? What if its content has changed ? . Don't worry, HTTPretty is here for you. . This package provides the Python 2.x module. Package: python-indexed-gzip Source: indexed-gzip Version: 0.8.6-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1165 Depends: neurodebian-popularity-contest, cython, python-numpy (>= 1:1.14.3), libc6 (>= 2.14), zlib1g (>= 1:1.2.2.4), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python-indexed-gzip_0.8.6-1~nd100+1_amd64.deb Size: 339736 SHA256: e2d4caa3c077fa10b17cd52f281e610957012ff7f7e9627040279596c522b875 SHA1: db31b58495d543a0fa5387f28341b947ff18bd69 MD5sum: a3f00163266e90a1f8bcb3dcc2282d3b Description: fast random access of gzip files in Python Drop-in replacement `IndexedGzipFile` for the built-in Python `gzip.GzipFile` class that does not need to start decompressing from the beginning of the file when for every `seek()`. It gets around this performance limitation by building an index, which contains *seek points*, mappings between corresponding locations in the compressed and uncompressed data streams. Each seek point is accompanied by a chunk (32KB) of uncompressed data which is used to initialise the decompression algorithm, allowing to start reading from any seek point. If the index is built with a seek point spacing of 1MB, only 512KB (on average) of data have to be decompressed to read from any location in the file. . This package provides the Python 2 module. Package: python-indexed-gzip-dbgsym Source: indexed-gzip Version: 0.8.6-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 939 Depends: python-indexed-gzip (= 0.8.6-1~nd100+1) Priority: optional Section: debug Filename: pool/main/i/indexed-gzip/python-indexed-gzip-dbgsym_0.8.6-1~nd100+1_amd64.deb Size: 829716 SHA256: d2f1c8697f8872b4a74a1b02c16ab84bcf7d6986d0bb91b7bf5e536dde0baf50 SHA1: d708a6d6e49da6a0a9873c19e2b48b009c18d39d MD5sum: aefd59be6376683b39f4fdfee6350df4 Description: debug symbols for python-indexed-gzip Build-Ids: 478f5f59aee40b0f53b8cb3a0e0a21b0a8dba799 ae52ae7604f916b7c6d75af442b5d4e638c37354 bedd9d0e95caf20d0b0e6376b0d6d7d9b8535c44 Package: python-joblib Source: joblib Version: 0.11-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 505 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~) Recommends: python-numpy, python-pytest, python-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.11-1~nd100+1_all.deb Size: 120136 SHA256: 1ce531c261f701f6db71c34ea529456884d6abb506e196f5a076570dd6cbff60 SHA1: 5707440a8ebc88fb69d775e1f5c4d930198c246c MD5sum: f012d12b971bcb943edd01bebe6aeeb0 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 2 version. Package: python-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python-json-tricks_3.11.0-1~nd100+1_all.deb Size: 24620 SHA256: c96f7343c4447c11a311b17d75728db7e92f6d26710d59261ce70d1dfe79e0ac SHA1: 7c12e119a49c9d4feb0dc37e6ff83fa95a1e5aad MD5sum: 7f0b9066072021f8d87359bd75ff5f59 Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python2 module. Package: python-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, libexempi3, python-tz, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python-libxmp_2.0.1+git20140309.5437b0a-4~nd100+1_all.deb Size: 24436 SHA256: 216594f30921b5bc47b4b621b6a2276ddcbeee57d3cc7bdccad592527787acaa SHA1: d7762b6b56e778e5a04af8cd979f8efaf51851fa MD5sum: 15ec1ac52ef41a44cb1542d5f5e2af1d Description: Python library for XMP metadata Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides Python bindings. Package: python-libxmp-doc Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 238 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-libxmp, python3-libxmp Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-xmp-toolkit/python-libxmp-doc_2.0.1+git20140309.5437b0a-4~nd100+1_all.deb Size: 38396 SHA256: 63129936e87754af0e3487b7df963a472ebe6558637512bd2bdede84a0f25e43 SHA1: eb41f6b4f57b47770c32f6a58ec393a551eb0768 MD5sum: 86207cee3b61676a928bcd68861a1dbe Description: Python library for XMP metadata - documentation Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package contains the documentation. Package: python-monotonic Version: 1.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/atdt/monotonic Priority: optional Section: python Filename: pool/main/p/python-monotonic/python-monotonic_1.1-2~nd100+1_all.deb Size: 5540 SHA256: c6352cb1064f3234a2926cb83704caae2ed31305f48f353bdc5e06fa29440a56 SHA1: 49f31c28928fa9b999c52d9e90495321dd7a7cf3 MD5sum: c9cdd9579a8a12b91c2f6c82a44acdd1 Description: implementation of time.monotonic() - Python 2.x This module provides a monotonic() function which returns the value (in fractional seconds) of a clock which never goes backwards. On Python 3.3 or newer, monotonic will be an alias of time.monotonic from the standard library. On older versions, it will fall back to an equivalent implementation: GetTickCount64 on Windows, mach_absolute_time on OS X, and clock_gettime(3) on Linux/BSD. . If no suitable implementation exists for the current platform, attempting to import this module (or to import from it) will cause a RuntimeError exception to be raised. . This package contains the Python 2.x module. Package: python-mutagen Source: mutagen Version: 1.38-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 673 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python-mutagen_1.38-1+nd1~nd100+1_all.deb Size: 137992 SHA256: 5d507ed687fc3dc2936565d146928dfa5b5eceb618d50700241ae9008195f63f SHA1: 813325e270a09e2a03e4b99f1284fb821b9a96e1 MD5sum: 6d417d155f18dfafb1490ec71503d26b Description: audio metadata editing library Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. Package: python-mutagen-doc Source: mutagen Version: 1.38-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 989 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Recommends: python-mutagen Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: doc Filename: pool/main/m/mutagen/python-mutagen-doc_1.38-1+nd1~nd100+1_all.deb Size: 123048 SHA256: 28539e9ce72e7577fbeeb318ec6d096aed4204266181a05c093a75f420a5f53e SHA1: f38abae0d0bad5698f758bc7d9901d46cc7cc75a MD5sum: 9bf3a1919101262e90b8d07dcb3ecddb Description: audio metadata editing library - documentation Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package provides documentation for the mutagen package. Package: python-mvpa2 Source: pymvpa2 Version: 2.6.5-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8605 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.5-1~nd100+1) Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib, python-duecredit, python-mock Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2 Provides: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.6.5-1~nd100+1_all.deb Size: 5108916 SHA256: 03f632b8d8ac35bf192ccc12ac62f3120c426b3798ac4ee90a5b5454f4c4c140 SHA1: 1e252903da71a630810a942d6c297e3547aa5ee4 MD5sum: dbecea8fb2a28d26a89d924f9debc275 Description: multivariate pattern analysis with Python v. 2 PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. . This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package. Python-Version: 2.7 Package: python-mvpa2-doc Source: pymvpa2 Version: 2.6.5-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20439 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-mvpa2, python-mvpa2-tutorialdata, ipython-notebook Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.6.5-1~nd100+1_all.deb Size: 4262684 SHA256: 517f77d048b183044d18c325e63e3c0fee3d1a665cd9bbdb082275fe24553ea4 SHA1: 8763400ca579f84e9e6b656329746eb4531e9532 MD5sum: fc687869c1c2dc900d36f70337973f46 Description: documentation and examples for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a HTML documentation (tutorial, FAQ etc.), and example scripts. In addition the PyMVPA tutorial is also provided as IPython notebooks. Package: python-mvpa2-lib Source: pymvpa2 Version: 2.6.5-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5), libsvm3, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.14.3), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7~) Provides: python2.7-mvpa2-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2-lib_2.6.5-1~nd100+1_amd64.deb Size: 51672 SHA256: 8e80f54dde747c86d49a7f313f015f49c6e81877333c9476fc63c07a5dacf8f7 SHA1: c74f4cd42a3837ca3cbbeb5d042e2778e315a898 MD5sum: f24d7823b20bfeeded820a0b42283eb6 Description: low-level implementations and bindings for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. . This is a package of a development snapshot. The latest released version is provided by the python-mvpa-lib package. Python-Version: 2.7 Package: python-mvpa2-lib-dbgsym Source: pymvpa2 Version: 2.6.5-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: python-mvpa2-lib (= 2.6.5-1~nd100+1) Priority: optional Section: debug Filename: pool/main/p/pymvpa2/python-mvpa2-lib-dbgsym_2.6.5-1~nd100+1_amd64.deb Size: 90848 SHA256: 700504b60ad6f93479221ef96efdafb8f1ceb8f347b7bea6d90e6a62b4735c96 SHA1: d9b7ec3f91fe79662d3254b24adaae814f322c98 MD5sum: ab1fffcf7d3b9c0e92c51795ae552014 Description: debug symbols for python-mvpa2-lib Build-Ids: 9042acc89fc1e514d23d3da0b258eca4171e2e2f b8fff5c8fdb06bcdb17fa893c6e30363df888aca Python-Version: 2.7 Package: python-nibabel Source: nibabel Version: 2.3.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65184 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-six Recommends: python-dicom, python-fuse, python-mock Suggests: python-nibabel-doc Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.3.0-1~nd100+1_all.deb Size: 2598332 SHA256: 31b7f340a7ac7e8431ea37171e213f3aa90d428a20e81fb2c96008db711a6e8a SHA1: a27fa8ae1187c336d091e30fa8217e9ee1f7770c MD5sum: 74f86f94ab3f3dcac8fe654812d8b6cb Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 2.3.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9153 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_2.3.0-1~nd100+1_all.deb Size: 1485368 SHA256: 85d61d077c07b4c5fa0da3f0c20143bbf9375e12a06780921739c8773211f73e SHA1: 1a79817482d22570411505a21fcd784455457a5f MD5sum: 94f34073aa0eaeb47659bbc16b5fc9d8 Description: documentation for NiBabel NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package provides the documentation in HTML format. Package: python-nipy Source: nipy Version: 0.4.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3548 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-scipy, python-nibabel, python-nipy-lib (>= 0.4.2-1~nd100+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.7-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.4.2-1~nd100+1_all.deb Size: 780820 SHA256: dd96d63d42da8d0351c5b8aca3d87a0e633dfe3081cea5c2862da2ff3c97a616 SHA1: 203c81ceb50c3fc0f726c4bcb9a356b14d188f00 MD5sum: 5febd1dd05985e2271f45f4cbbd3abac Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.7 Package: python-nipy-doc Source: nipy Version: 0.4.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9396 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Recommends: python-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.4.2-1~nd100+1_all.deb Size: 1902904 SHA256: a8e7c58a6245935c2e420a450650e984c8a38d1215783b904908c6e0297328ee SHA1: 60ae1f53743ef8bafd86b5ff36d19d35ff0c1ad6 MD5sum: 270c44f641fce1518be9ed0e0b8cb8ae Description: documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation Package: python-nipy-lib Source: nipy Version: 0.4.2-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2671 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy (>= 1:1.13.1), python-numpy-abi9, python (<< 2.8), python (>= 2.7) Provides: python2.7-nipy-lib Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy-lib_0.4.2-1~nd100+1_amd64.deb Size: 649520 SHA256: 27f1cf1eb53bbd6106f146eb4abd99fd5c581abec7806bca75d1e5c487070f20 SHA1: 8261a2edea5a80a3ea350dab69673eb4c9bc7ba4 MD5sum: d9caba080f23824d3a2ffeebbc38bca9 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipy-lib-dbg Source: nipy Version: 0.4.2-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2879 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy (>= 1:1.13.1), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7), python-nipy-lib (= 0.4.2-1~nd100+1) Provides: python2.7-nipy-lib-dbg Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg_0.4.2-1~nd100+1_amd64.deb Size: 727024 SHA256: a539a0addcf514e1696267bd8f20b11d66060fc2db3e6d41f6d4f65a9b3dcf3c SHA1: 1c56e3af4b567855a4222918c6ac87874f3c209f MD5sum: 376c737ea3fcd5e15898ab1799117073 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides debugging symbols for architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipy-lib-dbg-dbgsym Source: nipy Version: 0.4.1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1329 Depends: python-nipy-lib-dbg (= 0.4.1-1~nd100+1) Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg-dbgsym_0.4.1-1~nd100+1_amd64.deb Size: 834228 SHA256: 699a17d636f27f246ff0f92b8adb000ec1112266fa6eb47594d09f52ad31d536 SHA1: 8c7aac974e1ca98d3f572e4b96210f1fcfb4d47f MD5sum: d15d90001d2859d2ec4c52a0d5395da0 Description: Debug symbols for python-nipy-lib-dbg Build-Ids: 09ba45fdcd86f08f96796f97dac0b9e287857a64 1b5fcd38768e7c5215929fe19ee5e443f2272b3f 1c610b73af32d90ac2125d7bd0c1f0fbf48510bd 2e84bfbf4d856fc5441c30dee09e935ab7994297 463ed27cd424511494e9c777ab1e83dc3b491324 4be5d6af8f018ae952002735c424dc2e3dca58db 4d2b6640c10a89c8c0f6d31f66fa16016437a0b7 5c64b716c33964f4d449b9e9ccbb6514b02015e6 679019872d069a8bd534ffc43bb4d6fb9b4380c5 8cd6898b978209594897b0c8eb43ec8168ddb134 9c75bc0f0dd6fbf0f8601a0d1c13857eb8a3c26a b8601e3a3c388464032595f2d8fd1a981174cc68 cafec2befcb390d436fe6f65da313754e98360f2 e7ab642246d5829b4641bff0e257bba977fef142 Python-Version: 2.7 Package: python-nipy-lib-dbgsym Source: nipy Version: 0.4.2-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2418 Depends: python-nipy-lib (= 0.4.2-1~nd100+1) Priority: optional Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbgsym_0.4.2-1~nd100+1_amd64.deb Size: 2029408 SHA256: be0c5b95d46495981322f79c8fa04889d9de0402f0b8f2c25413c1316d3ceb51 SHA1: 58680d487e915982565f25d95b4935632d2c17cf MD5sum: ad6ab3ef23fea9584cb02b7fcf60ee59 Description: debug symbols for python-nipy-lib Build-Ids: 2311e1dfdc6967f242acba71271215c174dace7a 23ff44a2a767c81f152f3b11255b88c53e511545 36af311ecbfaae7cd0aa0254d1776da89f9f52bd 56c2c7ce5e6340b75fd60d974a491aebabbf3fb9 5abd0f30bff4425b9ac3287d56faca0563e474e2 68d2cf757378299325f4923b00adee45a383af80 8920f4952bb91b1e30d63a7b4fed469149dd2d9f 9e44b9cf4e9ecaa32165c193f8157743c6ae1c72 ac5b75e8180759932961d12748b331b7745bfd48 bd174044be9394f43bb99460647e3743e825d481 da711c594daae672fe4e1c61851ef06bc4bae52f df013162255fcee0dbe2fdb83fe229b563f67013 df89bb0b513b088e131f9f2cd4b87f7f3d499cd9 ffb2ede28b1bb85ffb1962209b21026ae94a2175 Python-Version: 2.7 Package: python-nipype Source: nipype Version: 1.0.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10921 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-click, python-configparser, python-dateutil (>= 2.2), python-funcsigs, python-future, python-mock, python-networkx (>= 1.3), python-nibabel (>= 1.0.0~), python-numpy, python-packaging, python-prov, python-pytest, python-scipy, python-simplejson, python-traits, python:any (>= 2.6.6-7~), python-traits (>= 4.5.0) | python-traits4 (>= 4.5.0), python-psutil Recommends: ipython, graphviz, python-xvfbwrapper, mayavi2, python-pydotplus, python-cfflib Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants, python-pytest-xdist Provides: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_1.0.3-1~nd100+1_all.deb Size: 1865220 SHA256: e1133432a4af873f9ca406cb181a0d6fa3b42340f939af69b0fe41ad2a85a27c SHA1: 0dbf5415d4363a5f473180d625cde55c26540090 MD5sum: d429cfce45490aa547429c1c939dd04f Description: Neuroimaging data analysis pipelines in Python Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python-nipype-doc Source: nipype Version: 1.0.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 43359 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_1.0.3-1~nd100+1_all.deb Size: 20162792 SHA256: 5d1a448f82a273d74befdf0f52515ff7a9b11404b7d1367e8975ba171f2ab6ef SHA1: 94ac1544b8d15fa0553247bcb9edd10b97648665 MD5sum: 93efb9db776a1fd967b9dcfcc0f34da2 Description: Neuroimaging data analysis pipelines in Python -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-numexpr Source: numexpr Version: 2.6.2-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 421 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python-pkg-resources Homepage: https://github.com/pydata/numexpr Priority: optional Section: python Filename: pool/main/n/numexpr/python-numexpr_2.6.2-1~nd100+1_amd64.deb Size: 143358 SHA256: 203e3fd0408e66e840d654515710b7bfbdb1c38e5c1cfd553bd8a7e58d704047 SHA1: e6e6b174e4bc9cb69beccf254c134f19c8595fb2 MD5sum: fbf0ef8b1a6712e110286f462b075702 Description: Fast numerical array expression evaluator for Python and NumPy Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This is the Python 2 version of the package. Package: python-numexpr-dbgsym Source: numexpr Version: 2.6.2-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 235 Depends: python-numexpr (= 2.6.2-1~nd100+1) Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbgsym_2.6.2-1~nd100+1_amd64.deb Size: 217418 SHA256: ed25053fd51dc9a0e5535c1c028ea3114d2a5529a23d4350b02e51f29b721b6d SHA1: 7461f89e0c11f9bde45210e97bc87855a918a7eb MD5sum: 1bfdcd26fd4c1526198e7b72e9063c45 Description: Debug symbols for python-numexpr Build-Ids: 5fcd2deeca3d2d50130bd5d47b663a56b5d51537 Package: python-openpyxl Source: openpyxl Version: 2.4.9-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1525 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-et-xmlfile, python-jdcal, python:any (>= 2.6.6-7~), python-lxml (>= 3.3.4) Recommends: python-pytest, python-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_2.4.9-1~nd100+1_all.deb Size: 220668 SHA256: 4e8aa65876033dabd49e049c732e3e664b18b8d6f163320f7042550e9c26f461 SHA1: b44d3c161c94f1c0cd8ac315d93147c9e658d910 MD5sum: 223a3dd20b390d8914073455e858d6ed Description: Python module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python-pandas Source: pandas Version: 0.22.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26941 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-dateutil, python-numpy (>= 1:1.7~), python-tz, python:any (>= 2.6.6-7~), python-pandas-lib (>= 0.22.0-2~nd100+1), python-pkg-resources, python-six Recommends: python-scipy, python-matplotlib, python-tables, python-numexpr, python-xlrd, python-statsmodels, python-openpyxl, python-xlwt, python-bs4, python-html5lib, python-lxml Suggests: python-pandas-doc Provides: python2.7-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.22.0-2~nd100+1_all.deb Size: 2776800 SHA256: 5ccc691aec4455a6193e1b535ebed3e74eda3f9628ef1a1ed82d1860e843e306 SHA1: 408f902c99079443660a62e35c60a295814e6564 MD5sum: f513a8945ce3bf7a627c286353f2c005 Description: data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version. Package: python-pandas-doc Source: pandas Version: 0.22.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 54109 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Suggests: python-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: doc Filename: pool/main/p/pandas/python-pandas-doc_0.22.0-2~nd100+1_all.deb Size: 5626080 SHA256: dd4d132a4d20a2d5c548c93e095f2f866f0e0317257dac2198857db4196f5657 SHA1: 9960a9acd48bc3471ba4755eefbe0d684c825ddb MD5sum: b2c31d79779068d9f446c4b6dd393d9a Description: documentation and examples for pandas This package contains documentation and example scripts for python-pandas. Package: python-pandas-lib Source: pandas Version: 0.22.0-2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 13922 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python-numpy (>= 1:1.13.1), python-numpy-abi9, python (<< 2.8), python (>= 2.7) Provides: python2.7-pandas-lib Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas-lib_0.22.0-2~nd100+1_amd64.deb Size: 3056704 SHA256: 1cf55da6407590735fd869fa0589f5929bf41277f257b79a0d053a9f70deaab3 SHA1: 2c8b8fbcc0fc414e8439cb90ff34b0a49f579ed6 MD5sum: 65c7046798a0c1699589f27a7412ad57 Description: low-level implementations and bindings for pandas This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 2 version. 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On systems with multiple CPUs or multicore CPUs, processes should take advantage of as many CPUs or cores as the operating system permits. Package: python-pydicom Source: pydicom Version: 1.1.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10042 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~) Recommends: python-numpy, python-pil, python-gdcm Suggests: python-matplotlib Breaks: python-dicom (<< 1~) Replaces: python-dicom (<< 1~) Provides: python-dicom Homepage: https://pydicom.github.io Priority: optional Section: python Filename: pool/main/p/pydicom/python-pydicom_1.1.0-2~nd100+1_all.deb Size: 4317772 SHA256: 40e9699d217c41ea4a79fe8101e182c80d0a509a03352a487932fbfb993e0cf7 SHA1: 25e130302f4051b13f36c393dd049fb94c052088 MD5sum: 4af0237dd7fc3cd73a5a9c7497782d8d Description: DICOM medical file reading and writing (Python 2) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package installs the module for Python 2. Package: python-pydicom-doc Source: pydicom Version: 1.1.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2705 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Breaks: python-dicom-doc (<< 1~) Replaces: python-dicom-doc (<< 1~) Provides: python-dicom-doc Homepage: https://pydicom.github.io Priority: optional Section: doc Filename: pool/main/p/pydicom/python-pydicom-doc_1.1.0-2~nd100+1_all.deb Size: 337844 SHA256: 3e704869996b51b7229600220d69d370efbb18a565c104ea54a6cbeceda5c913 SHA1: fbf3b00065cfa6aa2d22ff44cec7fe5fa0218cc6 MD5sum: 74b6d02ce6fb3c4fbb30749adb32cc0c Description: DICOM medical file reading and writing (documentation) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package contains the documentation. Package: python-pydot Source: pydot Version: 1.2.3-1.1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 92 Depends: neurodebian-popularity-contest, python-pyparsing (>= 2.0.1+dfsg1-1), python:any (<< 2.8), python:any (>= 2.7.5-5~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python-pydot_1.2.3-1.1~nd100+1_all.deb Size: 22024 SHA256: 20896d1e86fe4837efe742940f2af8bd6612832076147ad1cec3cb11290c2f99 SHA1: 5fb5ec7e28e3e6094bff136669ad2b16041d7330 MD5sum: 369bd2761538ac467b54af7f0857e91d Description: Python interface to Graphviz's dot pydot allows one to easily create both directed and non directed graphs from Python. Currently all attributes implemented in the Dot language are supported. . Output can be inlined in Postscript into interactive scientific environments like TeXmacs, or output in any of the format's supported by the Graphviz tools dot, neato, twopi. Package: python-pyglet Source: pyglet Version: 1.3.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7027 Depends: neurodebian-popularity-contest, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa, libgtk2.0-0, python-ctypes | python (>= 2.5), python-future, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: libasound2 | libopenal1 Provides: python2.7-pyglet Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python-pyglet_1.3.0-1~nd100+1_all.deb Size: 1422372 SHA256: 5f28dba79e6e13a18e26151271e3577ca94dd273445ae756cdf5008686526442 SHA1: 9453747756db7cfa6ce437416b5ee55941ac8bc3 MD5sum: 8a7e9e456ec90c72951ee9ac9c8c58c2 Description: cross-platform windowing and multimedia library This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. Package: python-pyperclip Version: 1.6.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), xclip | xsel | python-gi | python-qt4 Homepage: https://github.com/asweigart/pyperclip Priority: optional Section: python Filename: pool/main/p/python-pyperclip/python-pyperclip_1.6.0-2~nd100+1_all.deb Size: 9516 SHA256: 41713a215e6b3f3b690ef4d99029c49b21c24f541fdc399d9d8ab886dc8a0c0d SHA1: dbaded1561784edc15eecac0348c0fe43067934f MD5sum: 7f01308b158183e203937d8a4326ff3f Description: Cross-platform clipboard module for Python This module is a cross-platform Python module for copy and paste clipboard functions. . It currently only handles plaintext. Package: python-rpaths-doc Source: python-rpaths Version: 0.13-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 121 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.6.4-2) Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: doc Filename: pool/main/p/python-rpaths/python-rpaths-doc_0.13-1~nd100+1_all.deb Size: 23166 SHA256: 5f44599c5525edf4f8c4ec9cdb92f51f7c65846cbc63bb406fa0e1021f030473 SHA1: 30d99593dc7702a3f87c5afad5dc5755ba9d8b39 MD5sum: 9528073147047bf0c977c7814bbbc16d Description: documentation for rpaths rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the documentation. Package: python-scikits-learn Source: scikit-learn Version: 0.19.1-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, python-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.19.1-3~nd100+1_all.deb Size: 85632 SHA256: 2ff7657b05849a6faa75c6c81d031028628a574d51d33f819dd17ae8ce4cfcaf SHA1: 942f75c086d6b4ebcfecae2da7ba6fee3f7d3f71 MD5sum: 42cfb3bd06d2cde3ca65e8ab6470a492 Description: transitional compatibility package for scikits.learn -> sklearn migration Provides old namespace (scikits.learn) and could be removed if dependent code migrated to use sklearn for clarity of the namespace. Package: python-six Source: six Version: 1.10.0-3~bpo8+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six_1.10.0-3~bpo8+1~nd100+1_all.deb Size: 14656 SHA256: 8636da47795f42e3b91a7cc2339a7d317bd8692162236a4d8097ae442389c2ff SHA1: 0970dc3595e632b0368ab8cfda123d8ec6605762 MD5sum: bb289d18a9932030a9ef09ae64f09ab0 Description: Python 2 and 3 compatibility library (Python 2 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 2 module path. It is complemented by python3-six and pypy-six. Package: python-skimage Source: skimage Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26057 Depends: neurodebian-popularity-contest, python-matplotlib (>= 1.3.1), python-networkx (>= 1.8), python-numpy, python-pil, python-scipy, python-six (>= 1.10.0), python-skimage-lib (>= 0.14.0-1~nd100+1), python (<< 2.8), python (>= 2.7), python-cloudpickle, python-pywt, python:any (>= 2.6.6-7~) Recommends: python-pytest, python-qt4 Suggests: python-opencv, python-skimage-doc Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python-skimage_0.14.0-1~nd100+1_all.deb Size: 19922880 SHA256: b14eb13c664cf2352345746c7bcb9ae3b39e3d2c20c79f6537772e8541d18978 SHA1: cfda7992ebdc8588e9142615b21dcf6441e53dbd MD5sum: d8cbe8c1d6102755eb291937e726988d Description: Python modules for image processing scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package provides the Python 2 module. Package: python-skimage-doc Source: skimage Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1682 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Suggests: python-skimage Multi-Arch: foreign Homepage: http://scikit-image.org Priority: optional Section: doc Filename: pool/main/s/skimage/python-skimage-doc_0.14.0-1~nd100+1_all.deb Size: 787384 SHA256: d420aeea97505c5ea519de51b2d75c869628e80a287b84fd5b2e00713643ace8 SHA1: ac0072e071328ad2b78c741ce3954711951e01e1 MD5sum: c75f5676b0f6f9086a9d7523c8dca9a0 Description: Documentation and examples for scikit-image scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package contains documentation and example scripts for python-skimage. Package: python-skimage-lib Source: skimage Version: 0.14.0-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11229 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Recommends: python-skimage Provides: python2.7-skimage-lib Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python-skimage-lib_0.14.0-1~nd100+1_amd64.deb Size: 1779560 SHA256: 30456970c781ad8d39e5e65005f3a53444f4a652a0d2881e55ddb710c049db6a SHA1: 29d510c51a19a99e8a9c138d85a414180745134d MD5sum: 646b3b2268766129cf6014f09ed563d9 Description: Optimized low-level algorithms for scikit-image This is an add-on package for python-skimage. It provides optimized, low-level implementations of algorithms. . 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Package: python-skimage-lib-dbgsym Source: skimage Version: 0.14.0-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10211 Depends: python-skimage-lib (= 0.14.0-1~nd100+1) Priority: optional Section: debug Filename: pool/main/s/skimage/python-skimage-lib-dbgsym_0.14.0-1~nd100+1_amd64.deb Size: 8693112 SHA256: e6d28757d29eece0b48bdaddb18fa6e09e7ee87a9cc735ffbf1f62217839134b SHA1: 8929f1d9f6594d4374585afdf094400528536838 MD5sum: 1279dcd47ffe3b14c386dca0ee5e78a0 Description: debug symbols for python-skimage-lib Build-Ids: 0de6a1e731052d92ad9871220362a5bf69bcb1cd 154c59ba1efc9186787f0dcbfdf1ad8c8b52dcde 18b42dacd89ca74d133975bc024031a7eb40e235 199456ffcbabaab0da0d624273aedd5e56082eba 1bbae087d747ae744672148dae434a44919c085d 1be0a8705913372a21f4ca59597d94c40b8fcd72 2139309b8187979174011c0bff21ca92f840da25 299452e5d5ffefb67559e66fef7717c3b04de9dd 29c7049845ccb9196490d4850b827a9731645573 2ba99c9bc9bcdd00e6183fea0cc989a0c5f83a94 2bc6e66cee0745a85fb9c945d80a1ac1551ed281 337a44b884f3dbc784f99afd6b88c56cc3e10936 50a98d12f827719055a797d4f2f831f2faec6c15 553552b93d4f96b7feb579168cf349037a7ece93 56a169a897c88c7272c2d4845b6dc92c74f4031d 5bc1251aace4ce967756b2e52cb7003b2ed58020 5bc6b1ab1f53cba788e076cda6475f06606c4117 5d754665d16145d05204b80647a032332a574226 6055c01a3a387cfce1a64ff6ee3bb16fc1c72375 696c52eb6026ae89a6c78733022540e1824c411c 6a008e5380c681218b8df2a87d6a672a7e78bfd7 707844300f728845b6fa733bbdfd0fa2f512de3a 728c9e5227e2acf6a05b5ce75f74e4e9b3476e3c 84d89b8c07b5b8310bd8ef8403a91f40e23f8333 8afd76c375e54c4cc7ba19543e2a0337b6592291 91b19e1920516d591b858abb97ef6354caa40bd3 974a220091816083cabff6046ec9d1b4a04d12c9 98d7a4e9e70fe55c80a95da9ff674e54dd085bb8 9f01949ecd4d094f7bd6b88f75d1df48997999e5 a4e39794b7686078879e30e2d2710207f25eeb9e ba2b8f6427cbee36a4d76bcf65769cf685131176 baa5699d19580bf8b1d2ae8d2ca36b1e1e830b49 c41eda7ea4153301ef8e20e1b6377d02ee899af6 c81a43fddfea3c577035fad0167705d6e5339ea7 c893130c36278d4ff5f374853597fbf5657623cc cdb26a107cd936ba4e46986ffac77eac5cd8b338 d1d7c2132d6fa4a9224e2afcf7f61f8b0e4964a0 d5a7db898f28a38b85e1a046ae13c4de2ec16786 dfc8f0cdcaf9cc073e3fe22a044971571ddbeee2 e0661168a439a52142079dcd8d5186024a5e9274 e91a0827a743a8b20246d6cb5e30ed14aee044f6 ea57c4dc24b3af8e45ffe128b6d643b1672ba338 ed6a4210196e0b1724da0a3afea73cec76fedf19 f3eb455556c67071952094546d9e979e7cdb3e4b f5f758e08619ad82fcd9213919018672d90b7467 fabe9c61561ea55bc19dfb1221b71007a05d4f44 fd681d52bdb6b2dfd26780bf9c1c426eba50f79a Package: python-sklearn Source: scikit-learn Version: 0.19.1-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7020 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.19.1-3~nd100+1), python-joblib (>= 0.9.2) Recommends: python-nose, python-pytest, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.7-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.19.1-3~nd100+1_all.deb Size: 1455236 SHA256: 827b1c9bce34ae3855ecd6ec7885feb99f19c0e7e0a0661285992ec7021b1933 SHA1: b51957bdbb612b56507246228be2c1f3e604beb6 MD5sum: 0795c9ecaa260b74dbd7a200363609d3 Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) Package: python-sklearn-doc Source: scikit-learn Version: 0.19.1-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 33264 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.19.1-3~nd100+1_all.deb Size: 5101268 SHA256: 7fb4c2ce156ddbe3a699d5dda1221463244cd66d07e176aacc0a74b7e5958133 SHA1: 233604eb7a57341806ebc7c67def321f2e73bc91 MD5sum: 0b51c8746e4e5cfb2b188a11de3bdf10 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-sklearn-lib Source: scikit-learn Version: 0.19.1-3~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6976 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.13.1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~) Conflicts: python-scikits-learn-lib Replaces: python-scikits-learn-lib Provides: python2.7-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn-lib_0.19.1-3~nd100+1_amd64.deb Size: 1600708 SHA256: 8a5dcc52af495770df5bebfa702717dcc903f6407c38e991e723b4973d47c2f8 SHA1: d3c50cc1f6dab4ac4ccd7b16d7f24314d6f6d97b MD5sum: 1f35f13d8366908e50bcdec90967a04e Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. Package: python-sklearn-lib-dbgsym Source: scikit-learn Version: 0.19.1-3~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7101 Depends: python-sklearn-lib (= 0.19.1-3~nd100+1) Priority: optional Section: debug Filename: pool/main/s/scikit-learn/python-sklearn-lib-dbgsym_0.19.1-3~nd100+1_amd64.deb Size: 6105488 SHA256: c07d5de154cb79ace31777ff4224868b844254f8a799345b11b3a5fb5c1b9908 SHA1: 9c6b6b5c21546baf1e99a8e17c3c11b940f0789c MD5sum: bb774288df4920bf677046d9a4473082 Description: debug symbols for python-sklearn-lib Build-Ids: 01acf618769255c4619bf342a41efc1c5ab67b31 03b1fb015b295ea2eb12ac977712062ec2832550 082d72a39275943958a506316ece909596f61df7 0f02f31b6d459c7a7540819ea0297dbc3425515b 10d4d0d28dfc73470233daa563f2ad3f3b740026 1b9cee06d13c78cd13651ab83c96cb7570f99650 1c9eb59f4b463648413e91922d285bcf2f303a57 2485c93307845e9a3a42538ea4ce9d23163f4ab3 2579f32d677b29df233364bbe33b4796b1ffbbe1 283d5dce54490a2f0b55c43899eb14392d7300f7 2b389727c3df6d7a2d48fb4946635aef96dfc7c1 2e283dfa9fda20368f29de38582165d5c2b8e1df 340201b440b50bb01507846078e5d5c6bdd43e14 3ddec49f49f9909775019c19acd5fb46ee3016a0 416edceb75cb876cae6e04d573ed99d9706f670e 550bfb183445c58362cf917e0d45678962a01d40 5ca56e13eef3aa3090b0bc58cc41eea4772126b0 5cc99365f2d4d84d39b923b1c6006ce76938054c 675377c8b8ee23c811796d1ce7fb41444b119737 6cf60450be2dba6a66df01cec6a71646de8255b9 6e6b399d51f7b11925e395e0e2d09da2f964f224 6eacb580d3653680d1845cbf1158cadbe9d60eb5 7a513d654f96d0bc6804d6bfe5f80ba65276988a 7d6cfca2a44bb1c9ec45c84a8686dd2b2181f32b 843019557fc5710291da2676237ea91f4a0615f6 88879a323d59955f292995e6c81dccf78d2ca7dc 8a401c934090dfa6c9a2c9cec3b0957a77e6dcbb 9b5b41161f3763181df52d244ed0bd9b744ed377 9c4eddf11af38950f07adafdc86e093bc371d6eb 9ef7e177165abf4160373e3f70e33f2d0cdf2976 a2ba89911bb89d407d296c2689cf9451a0010b3b b1c7224e776a9399e0719ab99728f8bdc454c04d c109ff89e2157bc1943e4b748a18b4079957c5d5 c14ddb79b7e9a29bbf2110b4deb0c501c288cb30 c18cd8c2421381929df1eb256680fcb700421bbe d790006fea28deca2022828ec34c051b659a8db9 da26813ae67238d42f0092fa92e16ec973f0c476 dadb66cd4347003b3f8f9be6dddf21eb5847f07d eaf64a25cdda8a8c82d3b4c90affe35caf6bb061 f235437d00fd12e35301a1919f842e2aa2497526 Package: python-stfio Source: stimfit Version: 0.15.8-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1457 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.14.3), python-numpy-abi9, python2.7, python:any (<< 2.8), python:any (>= 2.7.5-5~), libblas3 | libblas.so.3, libc6 (>= 2.14), libcholmod3 (>= 1:4.5.2), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:3.0), libhdf5-100, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4), libsuitesparse-dev, zlib1g-dev Recommends: python-matplotlib, python-scipy, python-pandas Provides: python2.7-stfio Homepage: http://www.stimfit.org Priority: optional Section: python Filename: pool/main/s/stimfit/python-stfio_0.15.8-1~nd100+1_amd64.deb Size: 489404 SHA256: 3b8b69a48cf0f87f6d647afde3293071ed58b3101fd0d00db24584eaf33128d4 SHA1: b6066993759e4a0191624ca9e98a6099370df5aa MD5sum: f5c76d3d4e5da88f9e7db04c2c7e70f8 Description: Python module to read common electrophysiology file formats. The stfio module allows you to read common electrophysiology file formats from Python. Axon binaries (abf), Axon text (atf), HEKA (dat), CFS (dat/cfs), Axograph (axgd/axgx) are currently supported. Package: python-sympy Source: sympy Version: 1.1.1-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16075 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mpmath Recommends: python-pil, python-ctypes, ipython, python-numpy, python-pyglet, python-gmpy Suggests: texlive-fonts-extra, dvipng, python-sympy-doc Enhances: isympy Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/python-sympy_1.1.1-4~nd100+1_all.deb Size: 2571200 SHA256: bf1fa20af905f7fe3afb92057d79b3446e4d2eb93cc25cc716e70bf3e74c9170 SHA1: 787817f913d82d44a5bcd91986a04d77bc7fc5e9 MD5sum: bcf30b0293c33597e3317a8aad82387d Description: Computer Algebra System (CAS) in Python SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. Package: python-sympy-doc Source: sympy Version: 1.1.1-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 51247 Depends: neurodebian-popularity-contest Suggests: python-sympy Homepage: http://sympy.org/ Priority: optional Section: doc Filename: pool/main/s/sympy/python-sympy-doc_1.1.1-4~nd100+1_all.deb Size: 5099648 SHA256: eeaccff192d446d157226a38e0cd8f1ea45d32a1d797f2b73317e5e7daaa2c2d SHA1: a97ab1752c49745ac198b53d5b7daa9d2c75630b MD5sum: 49fd587f7e2d0c5d6d5c7a354b8f8e56 Description: Computer Algebra System (CAS) in Python - Documentation SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains the documentation for sympy Python module. Package: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python-whoosh_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 290690 SHA256: 5cc2d7491e8ab52563aa8a32cdd3a223b78899713b74fbce565c022bba475819 SHA1: 745ce72af3b29abb3e44f83ee80a8fe450908bd9 MD5sum: a4a92bdf70ca01e924e0381d347635b4 Description: pure-Python full-text indexing, search, and spell checking library (Python 2) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python2 library Package: python-whoosh-doc Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2213 Pre-Depends: dpkg (>= 1.17.14) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Replaces: python-whoosh (<< 2.1.0) Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: extra Section: doc Filename: pool/main/p/python-whoosh/python-whoosh-doc_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 241300 SHA256: c28cc15134ac59dfd4c7384e30f72d97f7b263f0e27d7074afb29d953e785352 SHA1: 23d3044711e4074d5e1be14cf7b4cf5d644c2b2e MD5sum: 5d4ab18c7fe2b916a8aea674872b4224 Description: full-text indexing, search, and spell checking library (doc) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the library documentation for python-whoosh. Package: python-wrapt Version: 1.9.0-4~nd0~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 126 Depends: neurodebian-popularity-contest, python-six, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: python Filename: pool/main/p/python-wrapt/python-wrapt_1.9.0-4~nd0~nd100+1_amd64.deb Size: 32202 SHA256: 235c5d970b12dd24221dbc07df8a0e5116e5e8219e3ea98f0bff3f921c5bd901 SHA1: 3e02558b62f593981516303008cac2a26ed67212 MD5sum: 371c68e94bc17fe51621111131203416 Description: decorators, wrappers and monkey patching. - Python 2.x The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the Python 2.x module. Package: python-wrapt-dbgsym Source: python-wrapt Version: 1.9.0-4~nd0~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: python-wrapt (= 1.9.0-4~nd0~nd100+1) Priority: extra Section: debug Filename: pool/main/p/python-wrapt/python-wrapt-dbgsym_1.9.0-4~nd0~nd100+1_amd64.deb Size: 28714 SHA256: 70a947e5356948022547cf5beafc20792f998af516ed410d5157ab8982274ed7 SHA1: 1f936248deb51361dca8c0691986bfb2fb895164 MD5sum: f38b94e2db70c3413a09d38fd01ef6a3 Description: Debug symbols for python-wrapt Build-Ids: 5ca5dce9c1b260c25da045d11c4b935b9eac6c53 Package: python-wrapt-doc Source: python-wrapt Version: 1.9.0-4~nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 465 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: doc Filename: pool/main/p/python-wrapt/python-wrapt-doc_1.9.0-4~nd0~nd100+1_all.deb Size: 54096 SHA256: 10822366a5f3db22842bdf7d8afed9ea1d652808e55feab9edbfb6789a577e58 SHA1: 331cbe7088e3930df7e83f8fbed6b4240fbb4d34 MD5sum: 6ce653342ac130d84062d36d999bef4e Description: decorators, wrappers and monkey patching. - doc The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the documentation. Package: python3-boto Source: python-boto Version: 2.44.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, python3-requests, python3:any (>= 3.3.2-2~), python3-six Homepage: https://github.com/boto/boto Priority: optional Section: python Filename: pool/main/p/python-boto/python3-boto_2.44.0-1~nd100+1_all.deb Size: 739848 SHA256: 9268d6d9278fad94841f73d2727644f8177924a6e880c21b164f6ca57d74581f SHA1: f9635a14f7e4b578683a9a3e7b749c711383a87f MD5sum: ee17cd0fc3cc23de0060c05351cf32b8 Description: Python interface to Amazon's Web Services - Python 3.x Boto is a Python interface to the infrastructure services available from Amazon. . Boto supports the following services: * Elastic Compute Cloud (EC2) * Elastic MapReduce * CloudFront * DynamoDB * SimpleDB * Relational Database Service (RDS) * Identity and Access Management (IAM) * Simple Queue Service (SQS) * CloudWatch * Route53 * Elastic Load Balancing (ELB) * Flexible Payment Service (FPS) * Simple Storage Service (S3) * Glacier * Elastic Block Store (EBS) * and many more... . This package provides the Python 3.x module. Package: python3-chardet Source: chardet Version: 3.0.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python3-chardet_3.0.4-1~nd100+1_all.deb Size: 80348 SHA256: 522a3aeb3a9f897846100a28e413315e8c3333ae5562f943f4866a85d16475bf SHA1: 9f0472dc9464a85946637b60282774c655504278 MD5sum: 8ee24e5f20283c2e1149406753ee49bb Description: universal character encoding detector for Python3 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. . This package contains the Python 3 version of the library. Package: python3-datalad Source: datalad Version: 0.10.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4176 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180509~) | git-annex-standalone (>= 6.20180509~), patool, python3-appdirs, python3-fasteners, python3-git (>= 2.1.6~), python3-humanize, python3-iso8601, python3-keyrings.alt | python3-keyring (<= 8), python3-secretstorage, python3-keyring, python3-mock, python3-msgpack, python3-pil, python3-requests, python3-simplejson, python3-six (>= 1.8.0), python3-tqdm, python3-wrapt, python3-boto, python3-chardet, python3:any (>= 3.3.2-2~) Recommends: python3-exif, python3-github, python3-jsmin, python3-html5lib, python3-httpretty, python3-libxmp, python3-lzma, python3-mutagen, python3-nose, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, python3-bs4, python3-numpy, datalad-containers, datalad-crawler, datalad-neuroimaging Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.10.2-1~nd100+1_all.deb Size: 866096 SHA256: 6b308783467ac7c6af8377637141cc52526a3a6a9eb54366a6ee0855526b2bbe SHA1: dfda23f692455e03043badda7ccab1f1f94f702e MD5sum: 4fd822ab45e9a86bd0ee630f34b956c3 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-deprecation Source: python-deprecation Version: 1.0.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python3-deprecation_1.0.1-1~nd100+1_all.deb Size: 8596 SHA256: 38f3c2612821fcdacb00c8cc3f989eae7de795ec0fdb1da37852d63f42a53165 SHA1: 9a0de8682c76adb53d793344c10f5fd2097fb82f MD5sum: 8f6d58401d74dcb28e2e4ff103a7c2a7 Description: Library to handle automated deprecations - Python 3.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 3.x module. Package: python3-dicom Source: pydicom Version: 1.1.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python3-pydicom Homepage: https://pydicom.github.io Priority: optional Section: oldlibs Filename: pool/main/p/pydicom/python3-dicom_1.1.0-2~nd100+1_all.deb Size: 4756 SHA256: 96b0ff18edad54a3da37528b980eaa295006d750c64dd0681ebc09df01e70a7e SHA1: 167bb4b39e6c26a91cc6384261d66bed02c90943 MD5sum: f0461cfa5e8ee41eb4f5bc10dbbbcdf2 Description: transitional package for python3-pydicom This is a transitional package. It can safely be removed. Package: python3-duecredit Source: duecredit Version: 0.6.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 252 Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.6.4-1~nd100+1_all.deb Size: 56684 SHA256: 9ec2d1c3a15a4e5a876848bdb45f51aeb240590924b486a9b4ed25afce40ad61 SHA1: c5158a9a8855affbac02af46c23a032520aa5099 MD5sum: c512a84375ee694a39097881fd799cfb Description: Publications (and donations) tracer duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python3 -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python3-exif Source: python-exif Version: 2.1.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python3-exif_2.1.2-1~nd100+1_all.deb Size: 31008 SHA256: d4a63af1815717447f09a0126a0ecf9dd96d0d4c4941ebf2e32354b1dd4a2536 SHA1: a1e5db281b9e41c27c912bd5c2ee1d4a39e19eca MD5sum: c5ebe42edc8d50bb5059a1bdcf8b1d88 Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 3.x module. Package: python3-fasteners Source: python-fasteners Version: 0.12.0-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python3-monotonic, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python3-fasteners_0.12.0-3~nd100+1_all.deb Size: 14768 SHA256: 46be3f707dbbe4084eafad3d5db9759a47cf58accc1b3ecbed5b9b060c9e4073 SHA1: da28ddd249b6495d75470ec4321a2f264699d78a MD5sum: 2b02eec7354e3ee7d74a98517c554a40 Description: provides useful locks - Python 3.x Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 3.x module. Package: python3-fsl Source: fslpy Version: 1.2.2-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 403 Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-six (>= 1.0~), python3-deprecation, python3-indexed-gzip, python3-numpy, python3-wxgtk4.0, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_1.2.2-2~nd100+1_all.deb Size: 84252 SHA256: 67159a32fce9ea4be977bacce518c1e83a3576433fd764fa41830fc2f50c1697 SHA1: 29a49a7dc03d4a5cf96ecb850d6f94a4f7afb98f MD5sum: cd34c39d84de6b9f722e245771c73f85 Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-git Source: python-git Version: 2.1.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1651 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), python3:any (>= 3.3.2-2~) Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_2.1.8-1~nd100+1_all.deb Size: 303392 SHA256: 017f8fd5bc0ff2ec9720d8fe1f0e8160ce279e17ff94144244a4f6ccdd388b78 SHA1: 6287e1cf0858d1eb03d147e3046a1c085852f04c MD5sum: 7ef25a7556eedc0a1424b8480e336ee7 Description: Python library to interact with Git repositories - Python 3.x python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 3.x module. Package: python3-httpretty Source: python-httpretty Version: 0.8.14-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python3-urllib3, python3:any (>= 3.3.2-2~) Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python3-httpretty_0.8.14-1~nd100+1_all.deb Size: 21120 SHA256: 64a18bb1b674db10c0fc9f99059796ba672d4c4ed33723e7cbcbff61322c6595 SHA1: f6c1c6b5521d1cc624817d41b6b2382acf008700 MD5sum: 26cd57f14fa902c756f7710427a14ce2 Description: HTTP client mock - Python 3.x Once upon a time a Python developer wanted to use a RESTful API, everything was fine but until the day he needed to test the code that hits the RESTful API: what if the API server is down? What if its content has changed ? . Don't worry, HTTPretty is here for you. . This package provides the Python 3.x module. Package: python3-indexed-gzip Source: indexed-gzip Version: 0.8.6-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1185 Depends: neurodebian-popularity-contest, cython3, python3-numpy, libc6 (>= 2.14), zlib1g (>= 1:1.2.2.4), python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.3.2-2~) Provides: python3.6-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python3-indexed-gzip_0.8.6-1~nd100+1_amd64.deb Size: 354848 SHA256: f028aa43757df4761a8e57e3e736adb80c34e316e70c90c49ec39f3523bcc632 SHA1: 51b52db5ae4f91e3e4d4d3b211db63aea31c8a03 MD5sum: 04b20d725281a6318065940afa816b4d Description: fast random access of gzip files in Python Drop-in replacement `IndexedGzipFile` for the built-in Python `gzip.GzipFile` class that does not need to start decompressing from the beginning of the file when for every `seek()`. It gets around this performance limitation by building an index, which contains *seek points*, mappings between corresponding locations in the compressed and uncompressed data streams. Each seek point is accompanied by a chunk (32KB) of uncompressed data which is used to initialise the decompression algorithm, allowing to start reading from any seek point. If the index is built with a seek point spacing of 1MB, only 512KB (on average) of data have to be decompressed to read from any location in the file. . This package provides the Python 3 module. Package: python3-indexed-gzip-dbgsym Source: indexed-gzip Version: 0.8.6-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1217 Depends: python3-indexed-gzip (= 0.8.6-1~nd100+1) Priority: optional Section: debug Filename: pool/main/i/indexed-gzip/python3-indexed-gzip-dbgsym_0.8.6-1~nd100+1_amd64.deb Size: 1113672 SHA256: bda15ef7f14bb8d898b043c3e4d6aed52ab729da1a6829afeafc95c47cb5d973 SHA1: b31cc3518a1006fed47e27d1918950c1fe65b428 MD5sum: 43e27ff010ca8d29b260ba703b2b59a2 Description: debug symbols for python3-indexed-gzip Build-Ids: a1514de39bd9d572b5f137807aed706e5d017cf1 a61152d77dde8a449b4a1c86156c1185f4d3f293 efa5a984aa7b3bbb6a6acc95afe6acd8a0d5557a Package: python3-joblib Source: joblib Version: 0.11-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 500 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Recommends: python3-numpy, python3-pytest, python3-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.11-1~nd100+1_all.deb Size: 117388 SHA256: cdc4f618cf4a2d5bfb240378c715dbc54405e1903df8b2a39c0f01b134575a7f SHA1: 2b0de86545f637d2bcefa6512954ad96fab8a42f MD5sum: 6b8b54a7cdd9fc717bd48ca80c44615c Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 3 version. Package: python3-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python3-json-tricks_3.11.0-1~nd100+1_all.deb Size: 19008 SHA256: 0e43d77ac827571f7500dd681bf53cba19a0e97188df3507b573ae215afdaad8 SHA1: 5eb4b0e9fbe2c6e0a853a6127b015e55140cf268 MD5sum: 4229637f18150ff3f44ab0889a9f0e9c Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: python3-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, libexempi3, python3-tz, python3:any (>= 3.3.2-2~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python3-libxmp_2.0.1+git20140309.5437b0a-4~nd100+1_all.deb Size: 24528 SHA256: cb0fb73fcd75b749ba75f2da0bef79e8f9257db966286fe5fd0f0237ee60c997 SHA1: 7b1f4320c9c5e6f44fb99e90727091f6c347c5a8 MD5sum: 4a7389bbb4c8544f17745b170a80fb9e Description: Python3 library for XMP metadata Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides Python3 bindings. Package: python3-monotonic Source: python-monotonic Version: 1.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/atdt/monotonic Priority: optional Section: python Filename: pool/main/p/python-monotonic/python3-monotonic_1.1-2~nd100+1_all.deb Size: 5612 SHA256: 67a291afe28a065d26ad8f45fb589136c5ad02cab82bfce5109e0c73449680ee SHA1: 67bd0697997bd72aa4f8a2b098b6f3bf316bd2fd MD5sum: dc9d9e0b121d8c3ce50ef215d11a2c1b Description: implementation of time.monotonic() - Python 3.x This module provides a monotonic() function which returns the value (in fractional seconds) of a clock which never goes backwards. On Python 3.3 or newer, monotonic will be an alias of time.monotonic from the standard library. On older versions, it will fall back to an equivalent implementation: GetTickCount64 on Windows, mach_absolute_time on OS X, and clock_gettime(3) on Linux/BSD. . If no suitable implementation exists for the current platform, attempting to import this module (or to import from it) will cause a RuntimeError exception to be raised. . This package contains the Python 3.x module. Package: python3-mutagen Source: mutagen Version: 1.38-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 654 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python3-mutagen_1.38-1+nd1~nd100+1_all.deb Size: 131992 SHA256: 1b0542d2b6a651c704624141f71fcb23df704d912f7a7bacfa0a9fb54e3a6518 SHA1: e47f1a4b9bd5403a99924feea12a6bcb5b16ee0f MD5sum: 15411f14e9f8031e6d9d583d07162044 Description: audio metadata editing library (Python 3) Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package is built for Python 3. Package: python3-nibabel Source: nibabel Version: 2.3.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65170 Depends: neurodebian-popularity-contest, python3-numpy (>= 1.2), python3:any (>= 3.3.2-2~), python3-scipy, python3-six Suggests: python-nibabel-doc, python3-dicom, python3-fuse, python3-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.3.0-1~nd100+1_all.deb Size: 2594764 SHA256: 211121b57a5a531a978caf891e73f70feca36d6292508086717deddd7ef606af SHA1: 65e7ebcb1f0d83955c08224903218da01777dde9 MD5sum: 765c6159b915db1fb69471c053b4df7e Description: Python3 bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. Package: python3-numexpr Source: numexpr Version: 2.6.2-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 668 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.5~), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3:any (>= 3.3.2-2~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python3-pkg-resources Homepage: https://github.com/pydata/numexpr Priority: optional Section: python Filename: pool/main/n/numexpr/python3-numexpr_2.6.2-1~nd100+1_amd64.deb Size: 138624 SHA256: 64769e58aae94ac0938f2c6845f2beff00e18abcdbd9e6e090a0ea4b95bef395 SHA1: 73c12ebd17f4cf014121071c16b59eca183cd467 MD5sum: 9b813eeac0b56e75ab0b8e77dbecd3e6 Description: Fast numerical array expression evaluator for Python 3 and NumPy Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This package contains numexpr for Python 3. Package: python3-numexpr-dbgsym Source: numexpr Version: 2.6.2-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 468 Depends: python3-numexpr (= 2.6.2-1~nd100+1) Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbgsym_2.6.2-1~nd100+1_amd64.deb Size: 355020 SHA256: cd21f46bb867d567dba14068f248d2c5fd0d795f5828d070e3f8ac2748f5f445 SHA1: 114360c008c9a077b13f657a2bf4420f72791549 MD5sum: c7e9feb7ca04bacbc616659cbf0f60e6 Description: Debug symbols for python3-numexpr Build-Ids: 2a94e986f625abe46e09b434b24c0fb324b60777 ee327011dff36590c0763f731b7f92269acea872 Package: python3-openpyxl Source: openpyxl Version: 2.4.9-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1521 Depends: neurodebian-popularity-contest, python3-et-xmlfile, python3-jdcal, python3:any (>= 3.3.2-2~), python3-lxml (>= 3.3.4) Recommends: python3-pytest, python3-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python3-openpyxl_2.4.9-1~nd100+1_all.deb Size: 219800 SHA256: cf84414c643ec01e0d1f0360e45d678ac64bb53716e6db66d53060b5227c6534 SHA1: f569f96d65fcccea2dbcfe0ae5e788131f192665 MD5sum: 8f98516a032c8680e2cffbd136217f20 Description: Python 3 module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python 3 module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python3-pandas Source: pandas Version: 0.22.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26939 Depends: neurodebian-popularity-contest, python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.22.0-2~nd100+1), python3-pkg-resources, python3-six Recommends: python3-scipy, python3-matplotlib, python3-numexpr, python3-tables, python3-bs4, python3-html5lib, python3-lxml Suggests: python-pandas-doc Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas_0.22.0-2~nd100+1_all.deb Size: 2776220 SHA256: 97226dfe72d328144fa8ec5245eb8deca003801011c297e447f8e5252ea333a5 SHA1: 7f4ac5228f315e8c460593823b565ac071c4dc26 MD5sum: 27156ae69ca91cff1698cb26ee79ebee Description: data structures for "relational" or "labeled" data - Python 3 pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 3 version. Package: python3-pandas-lib Source: pandas Version: 0.22.0-2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 13741 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python3-numpy (>= 1:1.13.1), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.2~) Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas-lib_0.22.0-2~nd100+1_amd64.deb Size: 3045912 SHA256: 2501da4fd8678b4ee13fc7e7c240c511bd162ef4230b05abf6e5b015eed4ae19 SHA1: 66d98ca83a323140aabd951fd64eb33074193b37 MD5sum: dd2466dcade3728d4aba4790daf7576a Description: low-level implementations and bindings for pandas - Python 3 This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 3 version. 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DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package installs the module for Python 3. Package: python3-pydot Source: pydot Version: 1.2.3-1.1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 90 Depends: neurodebian-popularity-contest, python3-pyparsing (>= 2.0.1+dfsg1-1), python3:any (>= 3.3.2-2~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python3-pydot_1.2.3-1.1~nd100+1_all.deb Size: 21468 SHA256: 546173f18951e966f616f08aeb9482e29ee8dbae05b55c478ed33d7a8fa68146 SHA1: 30d11a3f0176a0eacb71cd4c2ea8dc90a5c95a10 MD5sum: a67a0354d4b5e3ca415cb8161b34cce6 Description: Python interface to Graphviz's dot (Python 3) pydot allows one to easily create both directed and non directed graphs from Python. Currently all attributes implemented in the Dot language are supported. . Output can be inlined in Postscript into interactive scientific environments like TeXmacs, or output in any of the format's supported by the Graphviz tools dot, neato, twopi. . This package contains pydot for Python 3. Package: python3-pyperclip Source: python-pyperclip Version: 1.6.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), xclip | xsel | python3-gi | python3-pyqt4 Homepage: https://github.com/asweigart/pyperclip Priority: optional Section: python Filename: pool/main/p/python-pyperclip/python3-pyperclip_1.6.0-2~nd100+1_all.deb Size: 9628 SHA256: 52ae6a83b076e4a4ebead3cb57a5136eead2cfc8e78c970c1431dac328e9c44f SHA1: 84d01a62d907fbd4522f66068af483c545c64c04 MD5sum: 4bd90462085a393529d3abda6ee6e319 Description: Cross-platform clipboard module for Python3 This module is a cross-platform Python3 module for copy and paste clipboard functions. . It currently only handles plaintext. . This is the Python 3 version of the package. Package: python3-rpaths Source: python-rpaths Version: 0.13-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-rpaths-doc Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: python Filename: pool/main/p/python-rpaths/python3-rpaths_0.13-1~nd100+1_all.deb Size: 14212 SHA256: 87303fb518107aaad34ec79f4a2b9aa16dfc6b60b09628e44767a97d8ddc1255 SHA1: af29d93ed958a6d422863e275776e10056a5be18 MD5sum: 055af8aab5118410df338b2ca343032b Description: cross-platform path manipulation library for Python rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the modules for Python 3. Package: python3-six Source: six Version: 1.10.0-3~bpo8+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python3-six_1.10.0-3~bpo8+1~nd100+1_all.deb Size: 14734 SHA256: fe098a5b0a58b9e56dce648d68194e7893157756bbbc1ab3cfa38f1c677c7956 SHA1: cc73271ad6a5f7760b677ffe3c02776756e40c13 MD5sum: b303fc751f272623c6bab1a3c92cb20c Description: Python 2 and 3 compatibility library (Python 3 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 3 module path. It is complemented by python-six and pypy-six. Package: python3-skimage Source: skimage Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26053 Depends: neurodebian-popularity-contest, python3-matplotlib, python3-networkx, python3-numpy, python3-pil, python3-scipy, python3-six (>= 1.10.0), python3-skimage-lib (>= 0.14.0-1~nd100+1), python3-cloudpickle, python3-pywt, python3:any (>= 3.3.2-2~) Recommends: python3-pytest, python3-dask Suggests: python-skimage-doc Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python3-skimage_0.14.0-1~nd100+1_all.deb Size: 19932184 SHA256: e970af728b776982934dcadd54e76fd1d40228f5bf939de5bb7994e1094e9007 SHA1: d5d2dbdb932fea73abba89e25ccde7f71134d21e MD5sum: 39562a5e71fa9f586d2c956c6f7bdd4d Description: Python 3 modules for image processing scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package provides the Python 3 module. Package: python3-skimage-lib Source: skimage Version: 0.14.0-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10834 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.14.3), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.2~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Recommends: python3-skimage Multi-Arch: same Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python3-skimage-lib_0.14.0-1~nd100+1_amd64.deb Size: 1727116 SHA256: 716d5fb5449787462aee06b3ca79f943abe7c0bad7966ba9a29918790fca09eb SHA1: 3ed0e626bb0b738adcfaf007e8b95837d1a53b24 MD5sum: bb626d6558991c465444f028bba5e8bb Description: Optimized low-level algorithms for Python 3 scikit-image This is an add-on package for python-skimage. It provides optimized, low-level implementations of algorithms. . This package provides the Python 3 libraries. Package: python3-skimage-lib-dbgsym Source: skimage Version: 0.14.0-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10856 Depends: python3-skimage-lib (= 0.14.0-1~nd100+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/s/skimage/python3-skimage-lib-dbgsym_0.14.0-1~nd100+1_amd64.deb Size: 9378508 SHA256: a6d9480233024e7e24d603b433e9e53366a92f75d94b354d102974906425778e SHA1: 4bf5cc514cd80beaa8eba7b5e79b6e280716b152 MD5sum: 8a5e76fe580fc694e152ea5347fdb790 Description: debug symbols for python3-skimage-lib Build-Ids: 09e20b59c27880d3f79c07d9a09c995218682910 0a5f3a376950e69b837a23a2c4271a60295b2dda 0dafee74f41360a378acbb858e8cf64abeb9bf04 13e589cef368cc88d751be86b9debe6e11815920 1887c3ac4a3cbc6e8310962f1b60e25844bdb433 1f78645d1def9e1764ec4435a03568ea5bd7f5a5 2984d9b98d72d5d34bdb10cb4fc16597186eb42b 2cbfc7e54cd8115ed89601e6cbeeba4ea3bd5cd6 2ceab3148787cf8dd5b12f9c5c68059279aef332 39e952c75a5202dd7322906865f8fd5f220cd319 3cf1cf2933d5243933e2f24ac44018ddc49c0cfe 4324deb0c24338d9f64225886084955b483c2d95 4c27cfb4e4072b281ab64b83bd84901aad314904 54edfc7bffd178ab0fb1dde8c8ff15fbd32daef0 58ec769b3b8b8cb070cdc6200a21b1f28713acb2 5db65104608962d5d2e38391ad82f622c69698ed 69ab3e33970899a6618dac35a77a13d24222d449 6e0d72f7416c321e5f87fde57565b36537fa9a99 78298b7c1a121850b3b8601d0a7ed1d2c854a2ef 78dbdc0bc455a731ae339e04a77a644362308451 7c0c28e1ba44c339d9e7b19d0bc0bea2cae157de 7de71a7ec884b5bda884e5ba3b9813b397fff4e3 7e221944550aa334e6135bc078b561c92d139591 8a7b02dea0ca47ea5166d6787964eff1a57708f8 8b16036a635ad30dd1d092c8e7ba4c2cb1e6cbfb 8b8293328e150a3057498c6fdc38af9ddcc5eb36 8ca92711243665643a3c1c6d4de9cc50e1a09bf0 a8c53fef1d625fa9243eddc919f2c92af6d5d3bd ac81d5640d50376e5a4bcd9a5b8bb7e1d5c20583 ae26105ca9d3be4a1c460c522d54a84d69c67e51 bf41b5c55d9427e8d27eb5e3843d12bf70fe7a7d c0a1334aa8942ae2e96d47fad2b225f41b35732d cc02d11f58e41f00ec3eb5d506b7a9ab21de88d9 d7780d08297473aee21de5859a9a45c775fb12a5 da7b87e1eaf6a8942932b48d4488377054834ccb da7c31315b610283a1045fa8a68b6dc7ac972799 dcefee13c8a5aae8341ff52561f40ec66497d8ac e4d9d892c343544dd9a99f0eebef967e4a4fed60 e8cb968c314713fb692441b3005fc6297025c867 f06b9f1a5334848908a0f966db0045246e5c14e2 f095bbfc5b956c11bf8e569426a09d1290e3527f f0b36d1391a2cbcd46ae13f246fd5c515867715f f2b1ed1ed94c6098c01902a85589b2a27e1adf33 f4082dc32487bce776084f76ab76223941e1898b f4f2848b98888950938c0a0e5fdfb30ce5a76f7f fa9a52dc36bf258b18a15789011585b3c9e1ac2d fe284a20e3a4ccd001a8f213e4594645bf3dc66f Package: python3-sklearn Source: scikit-learn Version: 0.19.1-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7019 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.19.1-3~nd100+1), python3-joblib (>= 0.9.2) Recommends: python3-nose, python-pytest, python3-matplotlib Suggests: python3-dap, python-sklearn-doc, ipython3 Enhances: python3-mdp, python3-mvpa2 Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn_0.19.1-3~nd100+1_all.deb Size: 1455076 SHA256: 857ac3e2a747437643032dc31d594913364ffb02b8a3f1a74bd3d18900428c09 SHA1: 0128b8a9f41209224ca293c80b413109c115cbf0 MD5sum: 4bd5e02449f0ebed5f5c7b3203f167f0 Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) . This package contains the Python 3 version. Package: python3-sklearn-lib Source: scikit-learn Version: 0.19.1-3~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6603 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.13.1), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~) Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.19.1-3~nd100+1_amd64.deb Size: 1508376 SHA256: 123294e85c5b4ace8349f9a2bec37b94f86ad086f85e9c5399f2f4a13fb3aeaf SHA1: ad30b8a819aeb2223ae33806573cc4aaab22f12e MD5sum: d94a6b3dfca6b9a350aa9cbf1f2b2c6a Description: low-level implementations and bindings for scikit-learn - Python 3 This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. . This package contains the Python 3 version. Package: python3-sklearn-lib-dbgsym Source: scikit-learn Version: 0.19.1-3~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7437 Depends: python3-sklearn-lib (= 0.19.1-3~nd100+1) Priority: optional Section: debug Filename: pool/main/s/scikit-learn/python3-sklearn-lib-dbgsym_0.19.1-3~nd100+1_amd64.deb Size: 6471736 SHA256: c3272ab4f7c3efbaaf6f505aa8b3540c5c8e07ec0cc9b8851bd8115e271f9b6a SHA1: d3861eeda3d6306bfd786e6e4f95ed2923f2bf4e MD5sum: 2b0200040aa6e62284d9291af5b2fd83 Description: debug symbols for python3-sklearn-lib Build-Ids: 13dda1b20f7123f8d080f3e038bd84c4afd72eec 251b52ba2e91edfa37e6cf9f011f76a78bde82b0 2a725680208e1748a8e2fa491d86566257dab5c0 2a842b933dc47c5018d8f8aa965a0f5afdc6972d 355e9995ccfc89d456010f7d59f0c1d5449b142f 36b1d7a705f8141a4e12ae92797143fef40b3349 3961b7f9e9db020c4f98dcd14e28131007a47687 481d91fdd26485433b628a0d239bdfa790c28792 48fb0420d068b823544d3a04df9700b22b6cd2a4 4e60148fc62153aacb8566581ef35a079f5f30ee 60c064b3b7235b446450e79ad3bbd92fe67b0f39 622122d938270a6cc475e36fecbf370bb677e972 66bf22b36bc7b632bb278fe219d045018a2e0f1f 6771fc6c77b167d75a67ec4aeba2f90b50c7e811 735d197df46032cb84585be41885620fb15c98c0 748cc6b52aeb89a1a0b6c3fb2bcf39ad06fee9ee 7776964cb564d8a95027253e9b623393837aec64 7b66e16807cc9145e419c7c163ca77a74516cacb 81cccd6fa73cb5f53edcc7d31ba1e5737a91d555 8e126da812f6c11b9bd2878897dfba3dbf168dde a0e4d8c7e6bcde45b7126092b4b5bb965f6dbaa9 abbc85196d16be3be2a57ebc9f6ffd4607f75a7d acfb6d0f153814010d1d15efa69bd03315becdc6 b8e3a24cf7f6b363254bdb78426e8b2064737253 bb7945698e9d688f6b44524613c72ef5bfb8eed9 bf8381d32980323ebfe083bdd66800e5b7440306 c0c646f66c63c3e779e2262d7a662d06228fcd98 c25e44d69234706b6524a92f7612799783dc92ae c28a5b288394c6b5dfc118d2f7a56c9ee96c32e9 c88fd646ae930d5c73b5769bfdb67c96df2eb6af cab9f4484f9e7b6c9b53041c0ffb1d08a4689ce9 cb4b8afe6c44a5d0e4442daaf9e5a0c922b531d4 e6f734956f940da3e877387c42d4d992149482d4 e793052b88951109c89f5391ff48c1811ee79adb e82f34a83e2d80b7a944e043e40947c044ae873c e9691ef6b3127f26e4ecdfe1000ccbf578ff4075 eaada18d35a31eb3738154eae27c3f325c80f9bf f23f5bf3bd55fb857720a684cea90769d374a57c f70456080238624090be6ea436c5380e3e08f7a4 f9ef30dfaf2cbb75665a1c3277176ea85ef74f4f Package: python3-sympy Source: sympy Version: 1.1.1-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16075 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-mpmath Recommends: python3-pil, ipython3, python3-numpy Suggests: texlive-fonts-extra, dvipng, python-sympy-doc Enhances: isympy3 Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/python3-sympy_1.1.1-4~nd100+1_all.deb Size: 2571816 SHA256: e5b4f136dfe81973b6aeb54157a4cdbe3abc45b82e02ae46d59dccdf5b1d47d3 SHA1: f775a404273345c57535c7b7899aa2303baac6fa MD5sum: 132cf88731e075534b71a36e9c568c5c Description: Computer Algebra System (CAS) in Python (Python3) SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains the Python 3 version of sympy. Package: python3-whoosh Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python3-whoosh_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 290826 SHA256: 571725d4546678cbe70e525f38fc66853aa7fda32e27b56dfaac8ce5b674210b SHA1: fb6fa2b9a76d4ed9fec61aeb4972ce88487d5e7f MD5sum: b46e377dd534da6136e6d9d087ca69a2 Description: pure-Python full-text indexing, search, and spell checking library (Python 3) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python3 library Package: python3-wrapt Source: python-wrapt Version: 1.9.0-4~nd0~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 164 Depends: neurodebian-popularity-contest, python3-six, python3 (<< 3.7), python3 (>= 3.5~), python3:any (>= 3.3.2-2~), libc6 (>= 2.4) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: python Filename: pool/main/p/python-wrapt/python3-wrapt_1.9.0-4~nd0~nd100+1_amd64.deb Size: 32278 SHA256: 915a615485711eeb8009021f30e48ea27d272c2b555020cce2181ca39a6c83db SHA1: d60c42e1a8e20bd59e2a718dfe24c53c509c3c4e MD5sum: 5d6f5edbab9b4ec8a171e21d0fe6b482 Description: decorators, wrappers and monkey patching. - Python 3.x The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the Python 3.x module. Package: python3-wrapt-dbgsym Source: python-wrapt Version: 1.9.0-4~nd0~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: python3-wrapt (= 1.9.0-4~nd0~nd100+1) Priority: extra Section: debug Filename: pool/main/p/python-wrapt/python3-wrapt-dbgsym_1.9.0-4~nd0~nd100+1_amd64.deb Size: 52850 SHA256: af5e2d2aa515e7e0495543c6c7d3575401fc1f437a752fd9623b847e37c9e199 SHA1: a8376e708ff87993a51c0e32a725f19739840ce6 MD5sum: f117cca2d4a90e197565892d25fe8e09 Description: Debug symbols for python3-wrapt Build-Ids: 0dd66f13d5bbfc8c1f78476cc6ad05a7b777742d add07cb631a4736ded3f259a76c3d332b33cbae5 Package: rclone Version: 1.41-1~ndall0 Architecture: amd64 Maintainer: Debian Go Packaging Team Installed-Size: 19633 Depends: libc6 (>= 2.3.2) Built-Using: go-md2man (= 1.0.8+ds-1), golang-1.10 (= 1.10.3-1), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-github-a8m-tree (= 0.0~git20171213.cf42b1e-1), golang-github-abbot-go-http-auth (= 0.0~git20150714.0.46b9627-2), golang-github-aws-aws-sdk-go (= 1.12.79+dfsg-1), golang-github-azure-azure-sdk-for-go (= 10.3.0~beta-1), golang-github-azure-go-autorest (= 8.3.1-1), golang-github-coreos-bbolt (= 1.3.1-coreos.5-1), golang-github-davecgh-go-spew (= 1.1.0-4), golang-github-dgrijalva-jwt-go-v3 (= 3.1.0-2), golang-github-djherbis-times (= 1.0.1+git20170215.d25002f-1), golang-github-dropbox-dropbox-sdk-go-unofficial (= 4.1.0-1), golang-github-go-ini-ini (= 1.32.0-2), golang-github-google-go-querystring (= 0.0~git20170111.0.53e6ce1-4), golang-github-jlaffaye-ftp (= 0.0~git20170707.0.a05056b-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kardianos-osext (= 0.0~git20170510.0.ae77be6-5), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-mattn-go-runewidth (= 0.0.2+git20170510.3.97311d9-1), golang-github-ncw-go-acd (= 0.0~git20171120.887eb06-1), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-google-cloud (= 0.9.0-5), golang-goprotobuf (= 0.0~git20170808.0.1909bc2-2) Homepage: https://github.com/ncw/rclone Priority: optional Section: net Filename: pool/main/r/rclone/rclone_1.41-1~ndall0_amd64.deb Size: 4810068 SHA256: b62160db730a2285a36444f0eb30a9f4c6a67957e03fff27de9cc3f8a7ecd689 SHA1: 68368135f21e5fa81d2904f9391054208697d5b3 MD5sum: f58523511ec0a1334697803e366f753e Description: rsync for commercial cloud storage Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers: . - Google Drive - Amazon S3 - Openstack Swift / Rackspace cloud files / Memset Memstore - Dropbox - Google Cloud Storage - Amazon Drive - Microsoft One Drive - Hubic - Backblaze B2 - Yandex Disk Package: remake Version: 4.1+dbg1.3~dfsg.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 341 Depends: neurodebian-popularity-contest, guile-2.0-libs, libc6 (>= 2.17), libgc1c2 (>= 1:7.2d), libreadline7 (>= 6.0) Homepage: http://bashdb.sourceforge.net/remake Priority: extra Section: devel Filename: pool/main/r/remake/remake_4.1+dbg1.3~dfsg.1-1~nd100+1_amd64.deb Size: 157496 SHA256: 21cd987914d6322cf08df1b5765d518b79be3f54ea97cb962562b198965a59dc SHA1: e2f5d790d3c4e3e4a5acfb241becdde09b41d6e3 MD5sum: 517aa3cd0f08ab0f642f438b762a0406 Description: GNU make fork with improved error reporting and debugging Modernized version of GNU make utility that adds improved error reporting, the ability to trace execution in a comprehensible way, and a debugger. Some of the features of the debugger are: * see the target call stack * set breakpoints on targets * show and set variables * execute arbitrary "make" code * issue shell commands while stopped in the middle of execution * inspect target descriptions * write a file with the commands of the target expanded Package: remake-dbgsym Source: remake Version: 4.1+dbg1.3~dfsg.1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 358 Depends: remake (= 4.1+dbg1.3~dfsg.1-1~nd100+1) Priority: optional Section: debug Filename: pool/main/r/remake/remake-dbgsym_4.1+dbg1.3~dfsg.1-1~nd100+1_amd64.deb Size: 319480 SHA256: 7e60c10c8ec80ba283bb4702cfcd256987aad6c57304317752a6919112ee9def SHA1: 9943e7a38cb8f5659219df82a765fa39710ae044 MD5sum: 54face330601ebd72da21cf27a392ed8 Description: debug symbols for remake Build-Ids: 38c0bb13922bfd72c4b47219f7029e8e976f99c9 Package: singularity-container Version: 2.5.2-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2437 Depends: neurodebian-popularity-contest, python, squashfs-tools, libarchive13 (>= 3.0.4), libc6 (>= 2.27) Recommends: e2fsprogs Homepage: http://www.sylabs.io Priority: optional Section: admin Filename: pool/main/s/singularity-container/singularity-container_2.5.2-1~nd100+1_amd64.deb Size: 347324 SHA256: 503eb9a8d8ca276019c7a96eeb8b738e252ea3780a67484bb547fe35748c8cec SHA1: 0e765622815b7255c5872fc53e9e0a91c4dd58ac MD5sum: 7533ad242325f4dc8ecbb2cfcb02dd57 Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container-dbgsym Source: singularity-container Version: 2.5.2-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1106 Depends: singularity-container (= 2.5.2-1~nd100+1) Priority: optional Section: debug Filename: pool/main/s/singularity-container/singularity-container-dbgsym_2.5.2-1~nd100+1_amd64.deb Size: 860168 SHA256: 5764ad0ecd3cd92d7ff126907ec4e6a050240c1809ce4ba9bafb1bb85e33ba1e SHA1: ba51d2287ad38c2c394a90fcc33ed953518aff15 MD5sum: 444fca52d5afd1592789472a865f9b23 Description: debug symbols for singularity-container Build-Ids: 02502f60563143653428c38f7a17b6413cdc64ba 2f44a27df3609480e4df47279a993dcfc6b91b6f 42c5b560129bdc12add52209e23435d5c2f09464 471ce65101ed9dee735a919732f442b4ad140d8d 5be2866e627e3c840d5c779c6a01ad9c4e8e4ba8 60abd5e01281876e7a1e421f07bdb8b7e34a54ef 68b5252178c3872870c3fe3db6b53bf56a66dd15 7e2cd2c7bef9b6ae96ab28c43cd1d2d970336034 96f83e6b84a5b8b4737baec46ea246fc0bd6fbe6 97d8089a3689ee7471ecde154037a70cf8e1aa6a c6991095f412064fb5fd46015a8a99fd2c612246 ca6cbf0169e6497f884a14ea071766901b6ea785 ed663debb4ba8b2d211f9967980ddc9f080a76eb f2c31871165993e563cd54a5600eec3ce91882c2 Package: stimfit Version: 0.15.8-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3299 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.14), libcholmod3 (>= 1:4.5.2), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:3.0), libhdf5-100, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), libwxbase3.0-0v5 (>= 3.0.4+dfsg), libwxgtk3.0-gtk3-0v5 (>= 3.0.4+dfsg), zlib1g (>= 1:1.1.4), python-numpy (>= 1:1.14.3), python-numpy-abi9, python2.7, python:any (>= 2.7.5-5~), libsuitesparse-dev, zlib1g-dev, python-wxgtk3.0 | python-wxgtk2.8 (>= 2.8.9), python-matplotlib Recommends: python-scipy Homepage: http://www.stimfit.org Priority: optional Section: science Filename: pool/main/s/stimfit/stimfit_0.15.8-1~nd100+1_amd64.deb Size: 904288 SHA256: 67e5c36f508dfacfdbab7f565a70c6c31a22700d617438c0365835f8626de630 SHA1: 115f51f187306196b8481d11d4d003a7cf61d26f MD5sum: c5a9fe1ad7ff8a1bb6cbc253857049de Description: Program for viewing and analyzing electrophysiological data Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. Package: stimfit-dbg Source: stimfit Version: 0.15.8-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 8533 Depends: neurodebian-popularity-contest, stimfit Recommends: python-matplotlib, python-scipy, python-stfio Homepage: http://www.stimfit.org Priority: extra Section: debug Filename: pool/main/s/stimfit/stimfit-dbg_0.15.8-1~nd100+1_amd64.deb Size: 8291976 SHA256: 1fbca02d834f0bd49b76cce2b395033e32a491317b9900f19734163a1b3cc1aa SHA1: ca475a0dada3678de5038541747f684b1865130a MD5sum: 955d1727245d6ff6e70d6b3add2befa4 Description: Debug symbols for stimfit Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. 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